{"id":244,"date":"2013-11-06T09:12:53","date_gmt":"2013-11-06T13:12:53","guid":{"rendered":"http:\/\/www.smartforecaster.net\/?p=244"},"modified":"2020-06-19T15:42:56","modified_gmt":"2020-06-19T19:42:56","slug":"recurso-recomendado-practico-series-temporales-pronostico-una-guia-practica-por-galit-schmueli","status":"publish","type":"post","link":"https:\/\/smartcorp.com\/es\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/","title":{"rendered":"Recurso recomendado: &#039;Pron\u00f3stico pr\u00e1ctico de series de tiempo: una gu\u00eda pr\u00e1ctica&#039;, por Galit Schmueli"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; module_class=&#8221;blog_css&#8221; _builder_version=&#8221;3.22&#8243; transparent_background=&#8221;off&#8221; make_fullwidth=&#8221;off&#8221; use_custom_width=&#8221;off&#8221; width_unit=&#8221;on&#8221;][et_pb_row admin_label=&#8221;row&#8221; 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-->.blog_glob article{<!-- [et_pb_line_break_holder] -->width:auto;<!-- [et_pb_line_break_holder] --> padding: 45px 20px 10px 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] -->margin: auto;<!-- [et_pb_line_break_holder] --> width: 80%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_pb_column .et_pb_blog_grid .column.size-1of2, .et_pb_column .et_pb_widget:nth-child(n) {<!-- [et_pb_line_break_holder] --> width: 100% !important;<!-- [et_pb_line_break_holder] --> margin: 0 7.5% 7.5% 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_col {<!-- [et_pb_line_break_holder] --> width: 56% !important;<!-- [et_pb_line_break_holder] --> display: inline-block;<!-- [et_pb_line_break_holder] --> float: left;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.sitebar_col{<!-- [et_pb_line_break_holder] --> width: 230px !important;<!-- [et_pb_line_break_holder] --> display: inline-block;<!-- [et_pb_line_break_holder] --> float: right;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->@media (max-width: 930px){<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] --> width: 85%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 870px){<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] --> width: 90%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 830px){<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] --> width: 97%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 767px){<!-- [et_pb_line_break_holder] -->.sitebar_col {<!-- [et_pb_line_break_holder] -->display:none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_col {<!-- [et_pb_line_break_holder] --> width: 100% !important;<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] --> float: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob {<!-- [et_pb_line_break_holder] --> width: 100%;<!-- [et_pb_line_break_holder] --> float: none;<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob article {<!-- [et_pb_line_break_holder] --> width: 100%;<!-- [et_pb_line_break_holder] --> padding: 45px 20px 10px 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.ghj {<!-- [et_pb_line_break_holder] -->width: 280px;<!-- [et_pb_line_break_holder] --> margin: auto;<!-- [et_pb_line_break_holder] -->padding-bottom:20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_pb_post .entry-featured-image-url {<!-- [et_pb_line_break_holder] --> float: none !important;<!-- [et_pb_line_break_holder] --> margin-right: 0 !important;<!-- [et_pb_line_break_holder] --> display: block !important;<!-- [et_pb_line_break_holder] --> position: relative !important;<!-- [et_pb_line_break_holder] --> bottom: 0 !important;<!-- [et_pb_line_break_holder] --> text-align: center !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-content {<!-- [et_pb_line_break_holder] --> display: none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.blog_top_title {<!-- [et_pb_line_break_holder] --> line-height: 38px;<!-- [et_pb_line_break_holder] --> font-size: 34px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob article h2 a {<!-- [et_pb_line_break_holder] --> line-height: 28px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_bg {<!-- [et_pb_line_break_holder] --> padding: 50px 15px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_code][et_pb_code admin_label=&#8221;POST CSS&#8221;]<\/p>\n<style><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->@media (max-width: 1320px){<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article img {<!-- [et_pb_line_break_holder] --> width: 160px !important;<!-- [et_pb_line_break_holder] --> height: 160px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article {<!-- [et_pb_line_break_holder] --> width: 180px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 1160px){<!-- [et_pb_line_break_holder] -->.relposts article:nth-child(2) {<!-- [et_pb_line_break_holder] --> display:none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article .entry-title{<!-- [et_pb_line_break_holder] --> height: 85px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts{<!-- [et_pb_line_break_holder] --> margin: auto;<!-- [et_pb_line_break_holder] --> float: none;<!-- [et_pb_line_break_holder] --> width: 390px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.relposts:after {<!-- [et_pb_line_break_holder] --> content: '';<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] --> clear: both;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article h2 a{<!-- [et_pb_line_break_holder] --> font-size: 13.08px !important;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --> }<!-- [et_pb_line_break_holder] -->.relposts article {<!-- [et_pb_line_break_holder] --> margin-bottom: 25px !important ;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article .entry-title{<!-- [et_pb_line_break_holder] -->margin-top:2px;<!-- [et_pb_line_break_holder] --> line-height: 0.7em !important;<!-- [et_pb_line_break_holder] --> height: 70px ;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article{<!-- [et_pb_line_break_holder] --> width: 212px ;<!-- [et_pb_line_break_holder] --> display: inline-block !important;<!-- [et_pb_line_break_holder] --> float: left !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article:nth-child(1) {<!-- [et_pb_line_break_holder] --> margin-right: 25px ;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article:nth-child(2) {<!-- [et_pb_line_break_holder] --> margin-right: 25px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article{<!-- [et_pb_line_break_holder] -->display: inline-block;<!-- [et_pb_line_break_holder] --> padding: 10px 10px 30px 10px !important;<!-- [et_pb_line_break_holder] --> box-shadow: 0px 0px 5px silver !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob article{<!-- [et_pb_line_break_holder] --> padding: 10px 10px 30px 10px !important;<!-- [et_pb_line_break_holder] --> box-shadow: 0px 0px 5px silver !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts .et_pb_post .entry-featured-image-url {<!-- [et_pb_line_break_holder] --> float: none !important;<!-- [et_pb_line_break_holder] --> margin-right: 0 !important;<!-- [et_pb_line_break_holder] --> display: block !important;<!-- [et_pb_line_break_holder] --> position: relative !important;<!-- [et_pb_line_break_holder] --> bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-content{<!-- [et_pb_line_break_holder] -->display:none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts_title{<!-- [et_pb_line_break_holder] --> text-align: center;<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-weight: 600;<!-- [et_pb_line_break_holder] --> margin-bottom: 15px;<!-- [et_pb_line_break_holder] --> margin-top: 70px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj{<!-- [et_pb_line_break_holder] --> margin-top: 60px;<!-- [et_pb_line_break_holder] --> margin-bottom: 60px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul li a {<!-- [et_pb_line_break_holder] --> text-decoration: none;<!-- [et_pb_line_break_holder] --> font-size: 16px;<!-- [et_pb_line_break_holder] --> line-height: 32px;<!-- [et_pb_line_break_holder] --> color: #3c3c3c;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul {<!-- [et_pb_line_break_holder] --> padding: 0 !important;<!-- [et_pb_line_break_holder] --> margin-top: 0;<!-- [et_pb_line_break_holder] --> list-style-type: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.categ_title {<!-- [et_pb_line_break_holder] --> font-family: 'Open Sans', sans-serif !important;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> padding-bottom: 30px;<!-- [et_pb_line_break_holder] --> border-bottom: 1px solid #a3a3a3;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul li{<!-- [et_pb_line_break_holder] -->text-decoration: none;<!-- [et_pb_line_break_holder] --> font-size: 16px;<!-- [et_pb_line_break_holder] --> line-height: 32px;<!-- [et_pb_line_break_holder] --> color: #3c3c3c;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul li {<!-- [et_pb_line_break_holder] --> list-style-type: none;<!-- [et_pb_line_break_holder] --> border-bottom: 1px solid #a3a3a3;<!-- [et_pb_line_break_holder] --> padding: 10px 0;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.share_blog{<!-- [et_pb_line_break_holder] -->margin:5px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->div.wp_rp_content {<!-- [et_pb_line_break_holder] --> display: none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-soc-icon img{<!-- [et_pb_line_break_holder] --> width: inherit !important;<!-- [et_pb_line_break_holder] --> height: inherit !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --> .post_soc {<!-- [et_pb_line_break_holder] --> position: absolute;<!-- [et_pb_line_break_holder] --> margin-left: -55px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.bloggg{<!-- [et_pb_line_break_holder] --> position: relative;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --> .post-soc-icon a img {<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] --> margin-bottom: 7px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-soc-icon a {<!-- [et_pb_line_break_holder] --> text-decoration: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text ul li:before {<!-- [et_pb_line_break_holder] --> content: '';<!-- [et_pb_line_break_holder] --> display: inline-block;<!-- [et_pb_line_break_holder] --> width: 7px;<!-- [et_pb_line_break_holder] --> height: 7px;<!-- [et_pb_line_break_holder] --> background: #00964d;<!-- [et_pb_line_break_holder] --> border-radius: 50%;<!-- [et_pb_line_break_holder] --> margin-bottom: 2px;<!-- [et_pb_line_break_holder] --> margin-right: 8px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text ul li {<!-- [et_pb_line_break_holder] --> list-style-type: none;<!-- [et_pb_line_break_holder] --> line-height: 30px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text {<!-- [et_pb_line_break_holder] -->text-align: justify; <!-- [et_pb_line_break_holder] --> color: #404040;<!-- [et_pb_line_break_holder] --> font-size: 16px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text a{<!-- [et_pb_line_break_holder] -->color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-style: italic;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text span{<!-- [et_pb_line_break_holder] --> font-style: italic;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text strong{<!-- [et_pb_line_break_holder] --> font-family: 'Open Sans', sans-serif !important;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-weight: 400;<!-- [et_pb_line_break_holder] --> font-size: 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper img{<!-- [et_pb_line_break_holder] --> width: 400px !important;<!-- [et_pb_line_break_holder] --> height: 280px !important;<!-- [et_pb_line_break_holder] --> float: left;<!-- [et_pb_line_break_holder] --> margin-right: 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper .entry-title{<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-weight: 600;<!-- [et_pb_line_break_holder] --> margin-bottom: 8px;<!-- [et_pb_line_break_holder] --> text-decoration: none;<!-- [et_pb_line_break_holder] --> font-family: 'Open Sans', sans-serif !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single.et_pb_pagebuilder_layout.et_full_width_page .et_post_meta_wrapper {<!-- [et_pb_line_break_holder] --> width: 100% !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-meta>a, .comments-number{<!-- [et_pb_line_break_holder] -->display:none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single.et_pb_pagebuilder_layout.et_full_width_page .et_post_meta_wrapper {<!-- [et_pb_line_break_holder] --> padding-top: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_bg{<!-- [et_pb_line_break_holder] -->padding: 120px 15px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#left-area {<!-- [et_pb_line_break_holder] --> padding-bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single .et_pb_post{<!-- [et_pb_line_break_holder] --> padding-bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single .et_pb_post{<!-- [et_pb_line_break_holder] --> margin-bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 767px){<!-- [et_pb_line_break_holder] -->.subscribe_bg{<!-- [et_pb_line_break_holder] --> margin-bottom: 60px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.ghj {<!-- [et_pb_line_break_holder] --> margin-bottom: -60px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.ghj{<!-- [et_pb_line_break_holder] -->margin-top:40px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper img {<!-- [et_pb_line_break_holder] --> width: auto !important;<!-- [et_pb_line_break_holder] --> height: auto !important;<!-- [et_pb_line_break_holder] --> float: left;<!-- [et_pb_line_break_holder] --> margin-right: 20px;<!-- [et_pb_line_break_holder] --> max-width: 100% !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#categories-bbb{<!-- [et_pb_line_break_holder] --> padding-top: 10px;<!-- [et_pb_line_break_holder] --> margin-top: 0;<!-- [et_pb_line_break_holder] --> margin-bottom: 10px;<!-- [et_pb_line_break_holder] --> border-bottom: 2px solid #0d4c92;<!-- [et_pb_line_break_holder] --> border-top: 2px solid #0d4c92;<!-- [et_pb_line_break_holder] --> text-align: center;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.categ_title{<!-- [et_pb_line_break_holder] -->font-weight: bold;<!-- [et_pb_line_break_holder] -->color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> padding-bottom: 30px;<!-- [et_pb_line_break_holder] --> border-bottom: none;<!-- [et_pb_line_break_holder] --> padding-bottom: 10px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.categ_title:after {<!-- [et_pb_line_break_holder] --> content: 'f0dd ';<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-family: fontawesome;<!-- [et_pb_line_break_holder] --> margin-left: 5px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#categories-bbb ul{<!-- [et_pb_line_break_holder] --> display: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#categories-bbb ul.baccc {<!-- [et_pb_line_break_holder] --> display: block !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 850px){<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper img {<!-- [et_pb_line_break_holder] --> width: auto !important;<!-- [et_pb_line_break_holder] --> height: auto !important;<!-- [et_pb_line_break_holder] --> float: none !important;<!-- [et_pb_line_break_holder] --> text-align: center !important;<!-- [et_pb_line_break_holder] --> margin: auto !important;<!-- [et_pb_line_break_holder] --> max-width: 100% !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.sitebar_col {<!-- [et_pb_line_break_holder] --> width: 190px !important;<!-- 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box_shadow_vertical_button_phone=&#8221;0px&#8221; box_shadow_blur_button_tablet=&#8221;40px&#8221; box_shadow_blur_button_phone=&#8221;40px&#8221; box_shadow_spread_button_tablet=&#8221;0px&#8221; box_shadow_spread_button_phone=&#8221;0px&#8221; text_shadow_horizontal_length_tablet=&#8221;0em&#8221; text_shadow_horizontal_length_phone=&#8221;0em&#8221; text_shadow_vertical_length_tablet=&#8221;0em&#8221; text_shadow_vertical_length_phone=&#8221;0em&#8221; text_shadow_blur_strength_tablet=&#8221;0em&#8221; text_shadow_blur_strength_phone=&#8221;0em&#8221;]<\/p>\n<h1 style=\"text-align: center;\">Pursuing best practices in demand planning,<\/h1>\n<h1 style=\"text-align: center;\">forecasting and inventory optimization<\/h1>\n<p>[\/et_pb_slide][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; specialty=&#8221;on&#8221; parallax_method_1=&#8221;off&#8221; parallax_method_2=&#8221;off&#8221; module_class_1=&#8221;blog_col&#8221; module_class_2=&#8221;sitebar_col&#8221; module_class=&#8221;bloggg&#8221; _builder_version=&#8221;3.22&#8243; transparent_background=&#8221;off&#8221; make_fullwidth=&#8221;off&#8221; use_custom_width=&#8221;off&#8221; width_unit=&#8221;on&#8221;][et_pb_column type=&#8221;2_3&#8243; specialty_columns=&#8221;2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_row_inner admin_label=&#8221;Row&#8221; module_class=&#8221;blog_glob&#8221; _builder_version=&#8221;3.25&#8243;][et_pb_column_inner saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;3.0.47&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_code module_class=&#8221;append_categ&#8221;]<script><!-- [et_pb_line_break_holder] -->jQuery(document).ready(function($) {<!-- [et_pb_line_break_holder] --> \/\/ Stuff to do as soon as the DOM is ready. Use $() w\/o colliding with other libs<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->$(window).on('load', function(){<!-- [et_pb_line_break_holder] --> if ($(window).width() < 767 ) {<!-- [et_pb_line_break_holder] --> $(\".append_categ\").append($(\"#categories-bbb\"))<!-- [et_pb_line_break_holder] --> }<!-- [et_pb_line_break_holder] -->}); <!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->});<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/script>[\/et_pb_code][et_pb_text admin_label=&#8221;CONTENT&#8221; module_class=&#8221;post-main_text&#8221; _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; z_index_tablet=&#8221;500&#8243; text_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_text_shadow_vertical_length_tablet=&#8221;0px&#8221; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; use_border_color=&#8221;off&#8221;]<\/p>\n<p>A readable, well-organized textbook could be invaluable to \u201chelp corporate forecasters-in-training understand the basics of time series forecasting,\u201d as Tom Willemain notes in the conclusion to this review, originally published in <a href=\"https:\/\/forecasters.org\/foresight-all-access-subscription\/\" target=\"_blank\" rel=\"noopener noreferrer\">Foresight: The International Journal of Applied Forecasting<\/a>. Principally written for an academic audience, the review also serves inexperienced demand planning professionals by pointing them to an in-depth resource.<\/p>\n<p><a href=\"http:\/\/www.forecastingbook.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">This neat little book<\/a> aims to \u201cintroduce the reader to quantitative forecasting of time series in a practical, hands-on fashion.\u201d For a certain kind of reader, it will doubtless succeed, and do so in a stylish way.<\/p>\n<p>The author, Dr. Galit Shmueli, is the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics and Information Systems at the Indian School of Business, Hyderabad. She has authored or coauthored several other books on applied statistics and business analytics.<\/p>\n<p>The book is meant to be a text for a \u201cmini-semester\u201d course for graduate or upper-level undergraduate students. I think it would be a stretch to believe there is enough technical material here to serve as the basis for a graduate course, but I could see it working well for undergraduates in industrial engineering or management who have had a prior statistics course (and therefore will indeed be able to \u201crecall that a 95% prediction interval for normally distributed errors is\u2026\u201d).<\/p>\n<p>There are end-of-chapter exercises of appropriate size and even setups for three real-world semester projects, so instructors could use the book as envisioned by the author. The book illustrates its points using XLMiner, an Excel add-in, and students can use the free demo version for almost all the exercises. Text datasets are available from the book\u2019s web site, which also provides a free time series analysis \u201cdashboard\u201d application. The author notes that other software can be used in place of XLMiner and mentions Minitab, JMP, and Rob Hyndman\u2019s forecast library in R.<\/p>\n<p>While reading this book, I was delighted by its clarity. Having spent time recently correcting the technical prose of two otherwise good graduate students, I found the writing in this book to be a refreshing contrast, making technical concepts understandable.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-1271 alignleft\" src=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/08\/time-series-forecasting.png\" alt=\"\" width=\"424\" height=\"318\" srcset=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/08\/time-series-forecasting.png 960w, https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/08\/time-series-forecasting-300x225.png 300w, https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/08\/time-series-forecasting-768x576.png 768w, https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/08\/time-series-forecasting-510x382.png 510w\" sizes=\"(max-width: 424px) 100vw, 424px\" \/>Another virtue of this book is its selection of topics. The technical ones are reasonably standard (smoothing methods, regression using polynomial trends, and dummy variables) but also range a bit toward the more exotic (logistic regression, neural nets, a bit of ARIMA). More impressive is the inclusion of what might be called \u201cmeta-topics\u201d relevant to forecasting: performance assessment, an overview of alternative technical approaches, and one on the forecasting process, from definition of goals to ways to gear reports differently for managerial and technical audiences. This is the kind of forecasting wisdom we find in <a href=\"http:\/\/www.crcpress.com\/product\/isbn\/9781584883173\" target=\"_blank\" rel=\"noopener noreferrer\">Chris Chatfield\u2019s book (2004)<\/a>, though presented rather less tartly and with less mathematical exposition. I typically recommend Chatfield\u2019s introductory book for more technical readers interested in getting into time series; I would recommend Shmueli\u2019s book for a more general audience.<\/p>\n<p>No review is complete without quibbles. Here are a few\u2014too few to undo my very positive view of this impressive little book:<\/p>\n<p>\u2022 The text makes a good case for \u201cwell formatted and easily readable\u201d charts (p. 179). But I found many of the screen shots to be poorly printed and difficult to see. The book is otherwise so visually pleasing that these defects seem very out of character. It uses luxurious amounts of white space and whimsical marginal art to great effect, producing a very \u201clight\u201d feel that must surely help comprehension.<\/p>\n<p>\u2022 The author claims (p. 115) that smoothing methods (e.g., moving averages, exponential smoothing) cannot be fully automated because \u201cthe user must specify smoothing constants.\u201d Of course, this is not so, since there are several software packages that do this, and the text later contradicts itself on this point on page 127.<\/p>\n<p>\u2022 The otherwise good discussion of autocorrelation misleads when it claims (p. 88) that negative lag-1 autocorrelation means that \u201chigh values are immediately followed by low values and vice versa.\u201d Well, usually, but not always.<\/p>\n<p>When I finished reading this book, I realized immediately that there is another target audience outside the classroom. My company often conducts training sessions on the use of our software, and these include some general background on forecasting methods and processes. If we could excise the material on XLMiner, and even if we couldn\u2019t, this text would make a wonderful \u201cleave behind\u201d to help corporate forecasters-in-training understand the basics of time series forecasting. The book is so well written, well organized and well designed that it might even be read. We can certainly use it to help our new programmers understand the applications they are developing. And this book might even serve as guilty reading for a graduate student who wants to really \u201cget\u201d what\u2019s going on in Box, Jenkins and Reinsel (2008).<\/p>\n<p><em>Thomas Willemain, PhD, co-founded Smart Software and currently serves as Senior Vice President for Research. Dr. Willemain also serves as Professor Emeritus of Industrial and Systems Engineering at Rensselaer Polytechnic Institute and as a member of the research staff at the Center for Computing Sciences, Institute for Defense Analyses.<\/em><\/p>\n<p><a href=\"https:\/\/smartcorp.com\/smartforecasts\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1523\" src=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2016\/08\/demand_bottom.png\" alt=\"\" width=\"700\" height=\"250\" srcset=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2016\/08\/demand_bottom.png 700w, https:\/\/smartcorp.com\/wp-content\/uploads\/2016\/08\/demand_bottom-480x171.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 700px, 100vw\" \/><\/a><\/p>\n<p>[\/et_pb_text][et_pb_code module_class=&#8221;comment_sect&#8221;]<script><!-- [et_pb_line_break_holder] -->jQuery(document).ready(function($) {<!-- [et_pb_line_break_holder] --> \/\/ Stuff to do as soon as the DOM is ready. 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_builder_version=&#8221;3.19.11&#8243;][\/et_pb_fullwidth_code][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Un libro de texto legible y bien organizado podr\u00eda ser invaluable para &quot;ayudar a los pronosticadores corporativos en formaci\u00f3n a comprender los conceptos b\u00e1sicos del pron\u00f3stico de series de tiempo&quot;, como se\u00f1ala Tom Willemain en la conclusi\u00f3n de esta revisi\u00f3n, publicada originalmente en Foresight: The International Journal of Applied Forecasting . Escrita principalmente para una audiencia acad\u00e9mica, la revisi\u00f3n tambi\u00e9n sirve a profesionales sin experiencia en planificaci\u00f3n de la demanda al indicarles un recurso detallado.<\/p>","protected":false},"author":122,"featured_media":3230,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<i>A readable, well-organized textbook could be invaluable to \u201chelp corporate forecasters-in-training understand the basics of time series forecasting,\u201d as Tom Willemain notes in the conclusion to this review, originally published in <\/i><a title=\"Foresight: The International Journal of Applied Forecasting\" href=\"http:\/\/forecasters.org\/foresight\/\">Foresight: The International Journal of Applied Forecasting<\/a><i>. Principally written for an academic audience, the review also serves inexperienced demand planning professionals by pointing them to an in-depth resource.<\/i>\r\n\r\n<a title=\"Practical Time Series Forecasting: A Hands-On Guide\" href=\"http:\/\/www.forecastingbook.com\/\">This neat little book<\/a> aims to \u201cintroduce the reader to quantitative forecasting of time series in a practical, hands-on fashion.\u201d For a certain kind of reader, it will doubtless succeed, and do so in a stylish way.\r\n\r\n<!--more-->\r\n\r\nThe author, Dr. Galit Shmueli, is the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics and Information Systems at the Indian School of Business, Hyderabad. She has authored or coauthored several other books on applied statistics and business analytics.\r\n\r\nThe book is meant to be a text for a \u201cmini-semester\u201d course for graduate or upper-level undergraduate students. I think it would be a stretch to believe there is enough technical material here to serve as the basis for a graduate course, but I could see it working well for undergraduates in industrial engineering or management who have had a prior statistics course (and therefore will indeed be able to \u201crecall that a 95% prediction interval for normally distributed errors is\u2026\u201d).\r\n\r\nThere are end-of-chapter exercises of appropriate size and even setups for three real-world semester projects, so instructors could use the book as envisioned by the author. The book illustrates its points using XLMiner, an Excel add-in, and students can use the free demo version for almost all the exercises. Text datasets are available from the book\u2019s web site, which also provides a free time series analysis \u201cdashboard\u201d application. The author notes that other software can be used in place of XLMiner and mentions Minitab, JMP, and Rob Hyndman\u2019s <i>forecast <\/i>library in R.\r\n\r\nWhile reading this book, I was delighted by its clarity. Having spent time recently correcting the technical prose of two otherwise good graduate students, I found the writing in this book to be a refreshing contrast, making technical concepts understandable.\r\n\r\nAnother virtue of this book is its selection of topics. The technical ones are reasonably standard (smoothing methods, regression using polynomial trends, and dummy variables) but also range a bit toward the more exotic (logistic regression, neural nets, a bit of ARIMA). More impressive is the inclusion of what might be called \u201cmeta-topics\u201d relevant to forecasting: performance assessment, an overview of alternative technical approaches, and one on the forecasting process, from definition of goals to ways to gear reports differently for managerial and technical audiences. This is the kind of forecasting wisdom we find in <a title=\"The Analysis of Time Series: An Introduction\" href=\"http:\/\/www.crcpress.com\/product\/isbn\/9781584883173\">Chris Chatfield\u2019s book (2004)<\/a>, though presented rather less tartly and with less mathematical exposition. I typically recommend Chatfield's introductory book for more technical readers interested in getting into time series; I would recommend Shmueli's book for a more general audience.\r\n\r\nNo review is complete without quibbles. Here are a few\u2014too few to undo my very positive view of this impressive little book:\r\n\r\n\u2022 The text makes a good case for \u201cwell formatted and easily readable\u201d charts (p. 179). But I found many of the screen shots to be poorly printed and difficult to see. The book is otherwise so visually pleasing that these defects seem very out of character. It uses luxurious amounts of white space and whimsical marginal art to great effect, producing a very \u201clight\u201d feel that must surely help comprehension.\r\n\r\n\u2022 The author claims (p. 115) that smoothing methods (e.g., moving averages, exponential smoothing) cannot be fully automated because \u201cthe user must specify smoothing constants.\u201d Of course, this is not so, since there are several software packages that do this, and the text later contradicts itself on this point on page 127.\r\n\r\n\u2022 The otherwise good discussion of autocorrelation misleads when it claims (p. 88) that negative lag-1 autocorrelation means that \u201chigh values are immediately followed by low values and vice versa.\u201d Well, usually, but not always.\r\n\r\nWhen I finished reading this book, I realized immediately that there is another target audience outside the classroom. My company often conducts training sessions on the use of our software, and these include some general background on forecasting methods and processes. If we could excise the material on XLMiner, and even if we couldn\u2019t, this text would make a wonderful \u201cleave behind\u201d to help corporate forecasters-in-training understand the basics of time series forecasting. The book is so well written, well organized and well designed that it might even be read. We can certainly use it to help our new programmers understand the applications they are developing. And this book might even serve as guilty reading for a graduate student who wants to really \u201cget\u201d what\u2019s going on in <a title=\"Time Series Analysis: Forecasting and Control\" href=\"http:\/\/www.wiley.com\/WileyCDA\/WileyTitle\/productCd-0470272848.html\">Box, Jenkins and Reinsel (2008)<\/a>.\r\n\r\n<i>Thomas Willemain, PhD, co-founded Smart Software and currently serves as Senior Vice President for Research. Dr. Willemain also serves as Professor Emeritus of Industrial and Systems Engineering at Rensselaer Polytechnic Institute and as a member of the research staff at the Center for Computing Sciences, Institute for Defense Analyses.<\/i>","_et_gb_content_width":"","content-type":"","footnotes":""},"categories":[205,30],"tags":[109,110,28,31,111,112,113],"class_list":["post-244","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-forecasting","tag-academic","tag-book","tag-demand-planning","tag-forecasting-2","tag-review","tag-time-series","tag-training"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Recommended Resource: &#039;Practical Time Series Forecasting&#039; by Galit Schmueli - Smart SOFTWARE<\/title>\n<meta name=\"description\" content=\"The academic text &#039;Practical Time Series Forecasting: A Hands-On Guide&#039;, reviewed here, could also be of use to corporate demand planners in training.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/smartcorp.com\/es\/blog\/recurso-recomendado-practico-series-temporales-pronostico-una-guia-practica-por-galit-schmueli\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Recommended Resource: &#039;Practical Time Series Forecasting&#039; by Galit Schmueli - Smart SOFTWARE\" \/>\n<meta property=\"og:description\" content=\"The academic text &#039;Practical Time Series Forecasting: A Hands-On Guide&#039;, reviewed here, could also be of use to corporate demand planners in training.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/smartcorp.com\/es\/blog\/recurso-recomendado-practico-series-temporales-pronostico-una-guia-practica-por-galit-schmueli\/\" \/>\n<meta property=\"og:site_name\" content=\"Smart Software\" \/>\n<meta property=\"article:published_time\" content=\"2013-11-06T13:12:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-06-19T19:42:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/11\/Recommended-Resource-Practical-Time-Series-Forecasting-accurate-as-possible.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1600\" \/>\n\t<meta property=\"og:image:height\" content=\"1222\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Thomas Willemain, Ph.D.\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Thomas Willemain, Ph.D.\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"15 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/smartcorp.com\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/smartcorp.com\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/\"},\"author\":{\"name\":\"Thomas Willemain, Ph.D.\",\"@id\":\"https:\/\/smartcorp.com\/#\/schema\/person\/969772595cee39e0c3adff6b1ec21c4a\"},\"headline\":\"Recommended Resource: &#8216;Practical Time Series Forecasting: A Hands-On Guide&#8217;, by Galit Schmueli\",\"datePublished\":\"2013-11-06T13:12:53+00:00\",\"dateModified\":\"2020-06-19T19:42:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/smartcorp.com\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/\"},\"wordCount\":3105,\"publisher\":{\"@id\":\"https:\/\/smartcorp.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/smartcorp.com\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/smartcorp.com\/wp-content\/uploads\/2013\/11\/Recommended-Resource-Practical-Time-Series-Forecasting-accurate-as-possible.jpg\",\"keywords\":[\"Academic\",\"book\",\"demand planning\",\"forecasting\",\"review\",\"time series\",\"training\"],\"articleSection\":[\"Blog\",\"Excellence in Forecasting\"],\"inLanguage\":\"es\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/smartcorp.com\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/\",\"url\":\"https:\/\/smartcorp.com\/blog\/recommended-resource-practical-time-series-forecasting-a-hands-on-guide-by-galit-schmueli\/\",\"name\":\"Recommended Resource: 'Practical Time Series Forecasting' by Galit Schmueli - 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