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Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Pract
US $45.81
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eBay item number:234776302250
Item specifics
- Condition
- 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]
- 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
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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