Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] (Practical Analytics)
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| Author | : | |
| Rating | : | 4.18 (623 Votes) |
| Asin | : | 0991576659 |
| Format Type | : | paperback |
| Number of Pages | : | 208 Pages |
| Publish Date | : | 2013-11-07 |
| Language | : | English |
DESCRIPTION:
Practical and Informative Ron Kenett This second edition is an excellent starting point for anyone dealing with time series forecasting. The book is very well motivated by real life case studies, the approach is practical and the coverage is comprehensive. Generous references to software programs make the content accessible to undergrads in forecasting classes, MBA students and practitioners in business, industry and services who need to study time series to help decision making processes.The style is clear, the examples educational and the guidance very professional in addressing a wide scope of issues. I particularly appreciate the fact that the author found a way to balance a. ubpdqn said Principles and a guide rather than hands-on. This book was a disappointment. I accept that the author is professional and passionate in the area of forecasting. However, the book was largely a set of principles and planning, performance and reporting of forecasting and a series of problems to motivate self-learning. The problems, though stepwise described, are not worked examples with interpretations or idenitification of pitfalls or limitations. Hence, it fails to achieve pragmatism or "hands-on" experiences suggested in the title.There are a number of useful data sources and list of references.In contrast, the rather poor quality video [] of a lecture given by Professor Hyndman is an . "It's About Time" according to John M. Ford. Galit Shmueli's text on time series forecasting is a practitioner-oriented introduction. She has made the text brief, readable, and focused on commonly-used methods. The book draws on well-explained examples throughout, including those integrated into chapters, those that appear in end-of-chapter problems, and those that fill a final chapter of case studies. Shmueli's book can be used with a six or seven week college class, as the text for a four-week, online statistics dot com course, or for self-study.It assumes access to XLMiner, an Excel add-on that supports data mining analysis methods, including a set of time series procedures. XLMiner
Praise for the Second Edition"The book is a little gem. I found the writing in this book to be a refreshing contrast, making technical concepts understandable."-- FORESIGHT, The International Journal of Applied Forecasting
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. Readers will learn to use forecasting methods using the Excel® add-in XLMiner® 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 networksA practical approach to evaluating the performance of forecasting solutionsA business-analytics exposition focused on linking time-series forecasting to business goalsGuided cases for integrating the acquired knowledge using real dataEnd-of-chapter problems to facilitate active learningA companion site with data sets, lear