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Inference in Linear Models With Auto Correlated Disturbances (Paperback)
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Inference in Linear Models With Auto Correlated Disturbances (Paperback)
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In the Present Book Chapter-I is an introductory one. It contains
the general introduction about the problem of autocorrelation .
Chapter-II presents statistical inferential problems in linear
models. It explains the specification of classical linear
regression model together with its estimation. Chapter-III
describes the review about inferential methods in linear models
under the problem of autocorrelation. Chapter-IV proposes some
alternative inferential methods for linear model with
autocorrelated disturbances. It uses the various types of residuals
such as ordinary least squares, studentized and predicted residuals
to develop alternative iterative estimation methods and tests for
the autocorrelation. Chapter-V depicts the conclusions. Several
selected references for the present book are given under the title
'BIBLIOGRAPHY'
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