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Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] by Shmueli

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]
Publication Date
2016-04-07
Pages
210
ISBN
9780991576654
Publication Year
2016
Series
Practical Analytics Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Mathematics, Business & Economics
Publication Name
Practical Time Series Forecasting : a Hands-On Guide
Author
Galit Shmueli
Publisher
Axelrod Schnall Publishers
Subject
General
Number of Pages
208 Pages

Over dit product

Product Identifiers

Publisher
Axelrod Schnall Publishers
ISBN-10
0991576659
ISBN-13
9780991576654
eBay Product ID (ePID)
21038844878

Product Key Features

Number of Pages
208 Pages
Publication Name
Practical Time Series Forecasting : a Hands-On Guide
Language
English
Publication Year
2016
Subject
General
Type
Textbook
Subject Area
Mathematics, Business & Economics
Author
Galit Shmueli
Series
Practical Analytics Ser.
Format
Trade Paperback

Additional Product Features

Edition Number
3
Intended Audience
College Audience
Synopsis
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, 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: 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 Practical Time Series Forecasting: A Hands-On Guide, Third 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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