Time Series Analysis: Forecasting & Control (3rd Edition)

Box, George E. P.,Jenkins, Gwilym M.,Reinsel, Gregory C.

ISBN 10: 0130607746 / ISBN 13: 9780130607744

Published by Prentice Hall, 1994

About this Item

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Bibliographic Details

Title: Time Series Analysis: Forecasting & Control ...

Publisher: Prentice Hall

Publication Date: 1994

Binding: hardcover

Condition: Good

Edition: 3rd Edition

About this title

Synopsis:

Explores the building of stochastic (statistical) models for time series and their use in important areas of application, forecasting, model specification, estimation, and checking.

Review:

?The book follows faithfully the style of the original edition. The approach is heavily motivated by real world time series, and by developing a complete approach to model building, estimation, forecasting and control.? ( Mathematical Reviews, 2009)

"I think the book is very valuable and useful to graduate students in statistics, mathematics, engineering, and the like. Also, it could be of tremendous help to practioners. Even though the book is written in a clear, easy to follow narrative style with plenty of illustrations, one should nevertheless have a sufficient knowledge of graduate level mathematical statistics. By reading and understanding the book one should, in the end, feel very confident in time series and analysis." (MAA Reviews, January 13, 2009)

"I think the book is very valuable and useful to graduate students in statistics, mathematics, engineering, and the like.  Also, it could be of tremendous help to practioners.  Even though the book is written in a clear, easy to follow narrative style with plenty of illustrations, one should nevertheless have a sufficient knowledge of graduate level mathematical statistics.  By reading and understanding the book one should, in the end, feel very confident in time series and analysis." (MAA Reviews, January 2009)

"I think the book is very valuable and useful to graduate students in statistics, mathematics, engineering, and the like.  Also, it could be of tremendous help to practioners.  Even though the book is written in a clear, easy to follow narrative style with plenty of illustrations, one should nevertheless have a sufficient knowledge of graduate level mathematical statistics.  By reading and understanding the book one should, in the end, feel very confident in time series and analysis." ( MAA Reviews, January 2009)