Regression models for time series analysis /
A thorough review of the most current regression methods in time series analysisRegression 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. T...
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Other Authors: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Hoboken, N.J. :
Wiley-Interscience,
©2002.
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Series: | Wiley series in probability and statistics.
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Subjects: | |
Online Access: | CONNECT |
MARC
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100 | 1 | |a Kedem, Benjamin, |d 1944- | |
245 | 1 | 0 | |a Regression models for time series analysis / |c Benjamin Kedem, Konstantinos Fokianos. |
260 | |a Hoboken, N.J. : |b Wiley-Interscience, |c ©2002. | ||
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504 | |a Includes bibliographical references (pages 297-326) and index. | ||
588 | 0 | |a Print version record. | |
505 | 0 | |a Time series following generalized linear models -- Regression models for binary time series -- Regression models for categorical time series -- Regression models for count time series -- Other models and alternative approaches -- State space models -- Prediction and interpolation -- Appendix: Elements of stationary processes. | |
520 | |a A thorough review of the most current regression methods in time series analysisRegression 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 examina. | ||
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650 | 0 | |a Time-series analysis. | |
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