On Criteria for Testing Linear Hypotheses in Regression Models: An Application of RLS Estimators - Couverture souple
Présentation de l'éditeur
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’
Biographie de l'auteur
He is a Senior lecturer in Statistics in S.V.Arts College,Tirupati. He has 12 years of Teaching and Research Experience. He Published several articles in National/International Journals & presented more research papers in various National/International Conferences, Seminars and Symposiums.
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On Criteria for Testing Linear Hypotheses in Regression Models
Edité par
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10 : 3659506664
ISBN 13 : 9783659506666
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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' 76 pp. Englisch. N° de réf. du vendeur 9783659506666
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On Criteria for Testing Linear Hypotheses in Regression Models
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659506664
ISBN 13 : 9783659506666
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramesh Kumar N.He is a Senior lecturer in Statistics in S.V.Arts College,Tirupati. He has 12 years of Teaching and Research Experience. He Published several articles in National/International Journals & presented more research pape. N° de réf. du vendeur 5160900
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On Criteria for Testing Linear Hypotheses in Regression Models
Edité par
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10 : 3659506664
ISBN 13 : 9783659506666
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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'VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. N° de réf. du vendeur 9783659506666
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On Criteria for Testing Linear Hypotheses in Regression Models : An Application of RLS Estimators
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659506664
ISBN 13 : 9783659506666
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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'. N° de réf. du vendeur 9783659506666
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On Criteria for Testing Linear Hypotheses in Regression Models | An Application of RLS Estimators
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659506664
ISBN 13 : 9783659506666
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. On Criteria for Testing Linear Hypotheses in Regression Models | An Application of RLS Estimators | N. Ramesh Kumar (u. a.) | Taschenbuch | 76 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659506666 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105502874
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