PRACTICAL TIME SERIES FORECASTING WITH R is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand. Forecasting is widely used also outside of business, such as in demography and climatology. The book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, from goal definition through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication. PRACTICAL TIME SERIES FORECASTING WITH R is suitable for courses on forecasting at the upper-undergraduate and graduate levels. It offers clear explanations, examples, end-of-chapter problems and cases. Methods are illustrated using the free and open-source software R.

Practical Time Series Forecasting with R: A Hands-On Guide

Business & Money

Shmueli, Galit

Lichtendahl, Jr Kenneth C.

Management & Leadership

Axelrod Schnall Publishers

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes:
<ul>
<li>Popular forecasting methods including smoothing algorithms, regression models, and neural networks</li>
<li>A practical approach to evaluating the performance of forecasting solutions</li>
<li>A business-analytics exposition focused on linking time-series forecasting to business goals</li>
<li>Guided cases for integrating the acquired knowledge using real data</li>
<li> End-of-chapter problems to facilitate active learning</li>
<li>A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)Globally-available textbook, available in both softcover and Kindle formats </li>
</ul>
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.For more information, visit forecastingbook.com

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Practical Analytics)

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: <ul>
<li>Popular forecasting methods including smoothing algorithms, regression models, and neural networks</li> <li>A practical approach to evaluating the performance of forecasting solutions</li> <li>A business-analytics exposition focused on linking time-series forecasting to business goals</li> <li>Guided cases for integrating the acquired knowledge using real data</li> <li>End-of-chapter problems to facilitate active learning</li> <li>A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)</li> <li>Globally-available textbook, available in both softcover and Kindle formats</li> </ul>
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]

See the best price to sell, buy, or rent books by Lichtendahl, Jr Kenneth C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Lichtendahl, Jr Kenneth C.

See the best price to sell, buy, or rent books by Lichtendahl, Jr Kenneth C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Practical Time Series Forecasting with R: A Hands-On Guide

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Practical Analytics)

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]