In the Present book Chapter -I contains the general introduction
about the model selection. Chapter-II speaks about the various
inferential problems of linear statistical models. The
distributional properties of the OLS estimators have been presented
in this chapter. It also contains the procedure of testing the
general linear hypothesis .Chapter-III deals with the existing
criteria for model selection given in the literature. Chapter-IV
proposes some new techniques for selection of linear statistical
models pertaining both the nested and non-nested linear regression
models. Chapter-V epitomizes the conclusions. Various selected
references have been documented under a separate caption
'Bibliography'.
General
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