Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]
| AUTHOR | Shmueli, Galit |
| PUBLISHER | Axelrod Schnall Publishers (04/07/2016) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Practical Time Series Forecasting: A Hands-On Guide, Third 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 Excel(R) add-in XLMiner(R) to develop effective forecasting solutions that extract business value from time-series data.
Featuring improved organization and new material, the Third Edition also includes:
Featuring improved organization and new material, the Third 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, learning resources, and instructor materials (solutions to exercises, case studies, and slides)
- Globally-available textbook, available in both softcover and Kindle formats
Show More
Product Format
Product Details
ISBN-13:
9780991576654
ISBN-10:
0991576659
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
210
Carton Quantity:
19
Product Dimensions:
7.00 x 0.44 x 10.00 inches
Weight:
0.82 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Business & Economics | Forecasting
Business & Economics | Probability & Statistics - General
Dewey Decimal:
519.55
Descriptions, Reviews, Etc.
publisher marketing
Practical Time Series Forecasting: A Hands-On Guide, Third 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 Excel(R) add-in XLMiner(R) to develop effective forecasting solutions that extract business value from time-series data.
Featuring improved organization and new material, the Third Edition also includes:
Featuring improved organization and new material, the Third 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, learning resources, and instructor materials (solutions to exercises, case studies, and slides)
- Globally-available textbook, available in both softcover and Kindle formats
Show More
List Price $29.90
Your Price
$29.60