On Criteria for Testing Linear Hypotheses in Regression Models epub
On Criteria for Testing Linear Hypotheses in Regression Models epub
On Criteria for Testing Linear Hypotheses in Regression Models by Ramesh Kumar N
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Author: Ramesh Kumar N
Number of Pages: 76 pages
Published Date: 04 Jan 2014
Publisher: LAP Lambert Academic Publishing
Publication Country: United States
Language: English
ISBN: 9783659506666
Download Link: On Criteria for Testing Linear Hypotheses in Regression Models
---------------------------------------------------------------
In this present book Chapter I is an introductory one. It contains the general introduction about the importance of hypotheses testing in econometrics. Chapter II deals with the inferential aspects of linear models. It describes the various problems of the theory of Econometrics. Chapter III describes the existing criteria for testing general linear hypotheses in the linear models. It contains the derivation and applications of Restricted Least Squares estimation in the theory of Econometrics.Chapter IV proposes same alternative criteria for testing general linear hypotheses in the generalized linear models. Mean Squared Error (MSE) criteria have been explained for testing general linear hypotheses in the generalized linear models under the problems of heteroscedasticity and singular linear models.Chapter V gives the conclusions of the book .Several relavant articles regarding the Hypotheses testing in linear regression models have been presented under a title 'BIBLIOGRAPHY'
Read online On Criteria for Testing Linear Hypotheses in Regression Models Buy and read online On Criteria for Testing Linear Hypotheses in Regression Models Download On Criteria for Testing Linear Hypotheses in Regression Models ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook On Criteria for Testing Linear Hypotheses in Regression Models ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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On Criteria for Testing Linear Hypotheses in Regression Models by Ramesh Kumar N
Author: Ramesh Kumar N
Number of Pages: 76 pages
Published Date: 04 Jan 2014
Publisher: LAP Lambert Academic Publishing
Publication Country: United States
Language: English
ISBN: 9783659506666
Download Link: On Criteria for Testing Linear Hypotheses in Regression Models
---------------------------------------------------------------
In this present book Chapter I is an introductory one. It contains the general introduction about the importance of hypotheses testing in econometrics. Chapter II deals with the inferential aspects of linear models. It describes the various problems of the theory of Econometrics. Chapter III describes the existing criteria for testing general linear hypotheses in the linear models. It contains the derivation and applications of Restricted Least Squares estimation in the theory of Econometrics.Chapter IV proposes same alternative criteria for testing general linear hypotheses in the generalized linear models. Mean Squared Error (MSE) criteria have been explained for testing general linear hypotheses in the generalized linear models under the problems of heteroscedasticity and singular linear models.Chapter V gives the conclusions of the book .Several relavant articles regarding the Hypotheses testing in linear regression models have been presented under a title 'BIBLIOGRAPHY'
Read online On Criteria for Testing Linear Hypotheses in Regression Models Buy and read online On Criteria for Testing Linear Hypotheses in Regression Models Download On Criteria for Testing Linear Hypotheses in Regression Models ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook On Criteria for Testing Linear Hypotheses in Regression Models ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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