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Benjamin Kedem - Regression Models for Time Series Analysis - 9780471363552 - V9780471363552
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Regression Models for Time Series Analysis

€ 204.62
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Description for Regression Models for Time Series Analysis Hardcover. Regression methods have been an integral part of time series analysis. Developments have made major strides in such areas as non continuous data where a linear model is not appropriate. This is a review of the regression methods in time series analysis. Series: Wiley Series in Probability and Statistics. Num Pages: 360 pages, Ill. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 238 x 166 x 26. Weight in Grams: 670.
A thorough review of the most current regression methods in time series analysis
Regression methods have been an integral part of time series analysis for over a century. Recently, new developments have made major strides in such areas as non-continuous data where a linear model is not appropriate. This book introduces the reader to newer developments and more diverse regression models and methods for time series analysis.
Accessible to anyone who is familiar with the basic modern concepts of statistical inference, Regression Models for Time Series Analysis provides a much-needed examination of recent statistical developments. Primary among them ... Read more

Product Details

Format
Hardback
Publication date
2002
Publisher
John Wiley and Sons Ltd United States
Number of pages
360
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
360
Place of Publication
, United States
ISBN
9780471363552
SKU
V9780471363552
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Benjamin Kedem
BENJAMIN KEDEM, PhD, is Professor of Mathematics at the University of Maryland. KONSTANTINOS FOKIANOS, PhD, is Assistant Professor in the Department of Mathematics and Statistics at the University of Cyprus.

Reviews for Regression Models for Time Series Analysis
"...provides an excellent overview of modern regression methods in time series analysis...accessible and illustrative...a valuable resource to students, researchers, and practitioners.  The text reflects a deep appreciation of both theory and applications, as well as a comprehensive understanding of a set of modeling frameworks that are increasingly integral to modern time series analysis." (Journal of the American Statistical Association, March ... Read more

Goodreads reviews for Regression Models for Time Series Analysis


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