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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.
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About the Author
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.
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Statistical Modeling And Diagnostic Tests
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LAP LAMBERT Academic Publishing Nov 2013, 2013
ISBN 10: 3659457671
ISBN 13: 9783659457678
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Taschenbuch. Condition: 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. Seller Inventory # 9783659457678
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Statistical Modeling And Diagnostic Tests
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Condition: 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. Seller Inventory # 5157289
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Statistical Modeling And Diagnostic Tests : Recent Trends in Model Building
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Taschenbuch. Condition: 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. Seller Inventory # 9783659457678
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Statistical Modeling and Diagnostic Tests
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Statistical Modeling And Diagnostic Tests | Recent Trends in Model Building
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Taschenbuch. Condition: 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. Seller Inventory # 105590412
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Statistical Modeling and Diagnostic Tests
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Statistical Modeling And Diagnostic Tests
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Taschenbuch. Condition: 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. Seller Inventory # 9783659457678
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Statistical Modeling and Diagnostic Tests
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Statistical Modeling And Diagnostic Tests: Recent Trends in Model Building
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