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Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Pract - Picture 1 of 1
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Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Pract

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Practical Time Series Forecasting with R: A Hands-On Guide [2nd E
ISBN
9780997847925
EAN
9780997847925
Publication Year
2016
Series
Practical Analytics Ser.
Type
Textbook
Format
Hardcover
Language
English
Subject Area
Mathematics, Business & Economics
Publication Name
Practical Time Series Forecasting with R : a Hands-On Guide [2nd Edition]
Author
Kenneth C. Lichtendahl Jr., Galit Shmueli
Publisher
Axelrod Schnall Publishers
Subject
General

About this product

Product Identifiers

Publisher
Axelrod Schnall Publishers
ISBN-10
0997847921
ISBN-13
9780997847925
eBay Product ID (ePID)
229086987

Product Key Features

Language
English
Publication Name
Practical Time Series Forecasting with R : a Hands-On Guide [2nd Edition]
Publication Year
2016
Subject
General
Type
Textbook
Subject Area
Mathematics, Business & Economics
Author
Kenneth C. Lichtendahl Jr., Galit Shmueli
Series
Practical Analytics Ser.
Format
Hardcover

Additional Product Features

Edition Number
2
Intended Audience
College Audience
Synopsis
PRACTICAL TIME SERIES FORECASTING with R, 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:* Popular forecasting methods including smoothing algorithms, regression models, and neural networks* A practical approach to evaluating the performance of forecasting solutions* A business-analytics exposition focused on linking time-series forecasting to business goals* Guided cases for integrating the acquired knowledge using real data* End-of-chapter problems to facilitate active learning* 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 formatsPRACTICAL TIME SERIES FORECASTING with R, 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, 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: Popular forecasting methods including smoothing algorithms, regression models, and neural networks A practical approach to evaluating the performance of forecasting solutions A business-analytics exposition focused on linking time-series forecasting to business goals Guided cases for integrating the acquired knowledge using real data End-of-chapter problems to facilitate active learning 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 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

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