Synopsis
In the book an attempt has been made to develop some new diagnostic tests for statistical model building in the context of linear regression models. Diagnostics of outliers has been described and a test for identifying outliers by using predicted residuals has been proposed in the present study. Besides outliers, a measure of influence for diagnostics has been developed in the study. Some new modified R2 and criteria for model selection have been developed along with modified mean square prediction error criteria; and modified information criteria for model selection. A test for exogeneity in model specification by using augmented regression model; and a test for stability of regression parameters in model specification have been proposed under diagnostic tests. A new test for misspecification of the linear regression model has been derived along with a modified Rainbow Test by using Internally studentized residuals. The problem of misspecification of non-nested linear regression models, has been discussed together with a diagnostic test for functional form between loglinear and linear regression models.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
He is a Lecturer in Statistics, Department of Statistics, Loyola Degree College [YSRR], Pulivendula, Kadapa District. He has 6 years of Teaching and Research Expereience. He published 1 book, 5 articles in International Journals. He presented 11 research papers in various National/International Conferences, Seminars and Symposiums.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Statistical Modeling And Diagnostic Tests
Edité par
LAP LAMBERT Academic Publishing Nov 2013, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the book an attempt has been made to develop some new diagnostic tests for statistical model building in the context of linear regression models. Diagnostics of outliers has been described and a test for identifying outliers by using predicted residuals has been proposed in the present study. Besides outliers, a measure of influence for diagnostics has been developed in the study. Some new modified R2 and criteria for model selection have been developed along with modified mean square prediction error criteria; and modified information criteria for model selection. A test for exogeneity in model specification by using augmented regression model; and a test for stability of regression parameters in model specification have been proposed under diagnostic tests. A new test for misspecification of the linear regression model has been derived along with a modified Rainbow Test by using Internally studentized residuals. The problem of misspecification of non-nested linear regression models, has been discussed together with a diagnostic test for functional form between loglinear and linear regression models. 184 pp. Englisch. N° de réf. du vendeur 9783659457678
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Statistical Modeling And Diagnostic Tests
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LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
Neuf
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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: Prabhakara Naik J.He is a Lecturer in Statistics, Department of Statistics, Loyola Degree College [YSRR], Pulivendula, Kadapa District. He has 6 years of Teaching and Research Expereience. He published 1 book, 5 articles in Interna. N° de réf. du vendeur 5157289
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Statistical Modeling and Diagnostic Tests
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Etat : New. pp. 184. N° de réf. du vendeur 26126769309
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Statistical Modeling and Diagnostic Tests
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
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ISBN 13 : 9783659457678
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Etat : New. Print on Demand pp. 184 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 133818178
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Statistical Modeling and Diagnostic Tests
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
Neuf
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Statistical Modeling And Diagnostic Tests | Recent Trends in Model Building
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LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
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Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Statistical Modeling And Diagnostic Tests | Recent Trends in Model Building | J. Prabhakara Naik (u. a.) | Taschenbuch | 184 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659457678 | 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 105590412
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Statistical Modeling And Diagnostic Tests
Edité par
LAP LAMBERT Academic Publishing Nov 2013, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the book an attempt has been made to develop some new diagnostic tests for statistical model building in the context of linear regression models. Diagnostics of outliers has been described and a test for identifying outliers by using predicted residuals has been proposed in the present study. Besides outliers, a measure of influence for diagnostics has been developed in the study. Some new modified R2 and criteria for model selection have been developed along with modified mean square prediction error criteria; and modified information criteria for model selection. A test for exogeneity in model specification by using augmented regression model; and a test for stability of regression parameters in model specification have been proposed under diagnostic tests. A new test for misspecification of the linear regression model has been derived along with a modified Rainbow Test by using Internally studentized residuals. The problem of misspecification of non-nested linear regression models, has been discussed together with a diagnostic test for functional form between loglinear and linear regression models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. N° de réf. du vendeur 9783659457678
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Statistical Modeling And Diagnostic Tests : Recent Trends in Model Building
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the book an attempt has been made to develop some new diagnostic tests for statistical model building in the context of linear regression models. Diagnostics of outliers has been described and a test for identifying outliers by using predicted residuals has been proposed in the present study. Besides outliers, a measure of influence for diagnostics has been developed in the study. Some new modified R2 and criteria for model selection have been developed along with modified mean square prediction error criteria; and modified information criteria for model selection. A test for exogeneity in model specification by using augmented regression model; and a test for stability of regression parameters in model specification have been proposed under diagnostic tests. A new test for misspecification of the linear regression model has been derived along with a modified Rainbow Test by using Internally studentized residuals. The problem of misspecification of non-nested linear regression models, has been discussed together with a diagnostic test for functional form between loglinear and linear regression models. N° de réf. du vendeur 9783659457678
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Statistical Modeling And Diagnostic Tests: Recent Trends in Model Building
Edité par
LAP LAMBERT Academic Publishing, 2013
ISBN 10 : 3659457671
ISBN 13 : 9783659457678
Ancien ou d'occasion
paperback
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paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA80036594576716
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