Forecasting is required in many situations.

Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others.

From the author of the bestselling "Analysis of Time Series," Time-Series Forecasting offers a comprehensive, up-to-date review of forecasting methods.

This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis.

The book is a summary of a time series forecasting competition that was held a number of years ago.

Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for ...

Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics.

This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series.

Accompanying CD-ROM contains datasets in the floowing formats: ASCII, EXCEL, SAS, JMP, MINITAB, STATA, S-PLUS, EVIEWS.

The online forecasting process is realized by a number of approaches on the logical as well as on the physical layer that we introduce in the course of this book.