What do you think?
Rate this book
Practical Time Series Forecasting: A Hands-On Guide
"The book is a little gem." - FORESIGHT, The International Journal of Applied Forecasting
"One of the best intro books on time series and forecasting I have ever seen." - Dr. Ron S. Kenett
Practical Time Series Forecasting is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand. Forecasting is also widely used also outside of business, such as in demography and climatology.
The book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, from goal definition through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication.
The second edition offers a large amount of new content and improved organization. Practical Time Series Forecasting is suitable for courses on forecasting at the upper-undergraduate and graduate levels. It offers clear explanations, examples, end-of-chapter problems and a case. Methods are illustrated using XLMiner, an Excel add-on. However, any software that has time series forecasting capabilities can be used with the book.
Visit www.forecastingbook.com for more information about the book.
"One of the best intro books on time series and forecasting I have ever seen." - Dr. Ron S. Kenett
Practical Time Series Forecasting is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand. Forecasting is also widely used also outside of business, such as in demography and climatology.
The book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, from goal definition through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication.
The second edition offers a large amount of new content and improved organization. Practical Time Series Forecasting is suitable for courses on forecasting at the upper-undergraduate and graduate levels. It offers clear explanations, examples, end-of-chapter problems and a case. Methods are illustrated using XLMiner, an Excel add-on. However, any software that has time series forecasting capabilities can be used with the book.
Visit www.forecastingbook.com for more information about the book.
- GenresBusiness
202 pages, Paperback
First published March 15, 2011
11 people are currently reading
23 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.