Linear Regression Models under Multicollinearity: Ridge Regression Inferential Techniques - Softcover
Synopsis
This book proposes the various types of new Ridge regression estimators to deal with the problem of multicollinearity in multiple linear regression analysis.An Ordinary ridge regression estimators and an orthonormal( ridge regression estimators have been derived by selecting the values for ridge parameter based on studentized residuals.A partitioned linear regression model has been specified and the ridge regression estimator has been developed by using Internally studentized residual sum of squares.besides these,an Adaptive General Ridge regression estimator's and a new combined restricted ridge regression estimators have been proposed along with iterative procedures for the solutions of elements of ridge parameters matrix.
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About the Author
She is working as senior lecturer in statistics in Padmavathi Womens Degree and PG College, Tirupati ,A.P.,INDIA.She has 13 Years of Teaching Experience. She ha published 3 papers in National/International Journals and 6 Research Papers were presented at national/International Seminars/Conferences.
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Linear Regression Models under Multicollinearity
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LAP LAMBERT Academic Publishing Jul 2013, 2013
ISBN 10: 3659389765
ISBN 13: 9783659389764
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes the various types of new Ridge regression estimators to deal with the problem of multicollinearity in multiple linear regression analysis.An Ordinary ridge regression estimators and an orthonormal( ridge regression estimators have been derived by selecting the values for ridge parameter based on studentized residuals.A partitioned linear regression model has been specified and the ridge regression estimator has been developed by using Internally studentized residual sum of squares.besides these,an Adaptive General Ridge regression estimator's and a new combined restricted ridge regression estimators have been proposed along with iterative procedures for the solutions of elements of ridge parameters matrix. 216 pp. Englisch. Seller Inventory # 9783659389764
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Linear Regression Models under Multicollinearity
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659389765
ISBN 13: 9783659389764
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pushpalatha M.She is working as senior lecturer in statistics in Padmavathi Womens Degree and PG College, Tirupati ,A.P.,INDIA.She has 13 Years of Teaching Experience. She ha published 3 papers in National/International Journals an. Seller Inventory # 158425776
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Linear Regression Models under Multicollinearity | Ridge Regression Inferential Techniques
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659389765
ISBN 13: 9783659389764
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Taschenbuch. Condition: Neu. Linear Regression Models under Multicollinearity | Ridge Regression Inferential Techniques | M. Pushpalatha (u. a.) | Taschenbuch | 216 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659389764 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 113177882
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Linear Regression Models under Multicollinearity
Published by
LAP LAMBERT Academic Publishing Jul 2013, 2013
ISBN 10: 3659389765
ISBN 13: 9783659389764
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book proposes the various types of new Ridge regression estimators to deal with the problem of multicollinearity in multiple linear regression analysis.An Ordinary ridge regression estimators and an orthonormal( ridge regression estimators have been derived by selecting the values for ridge parameter based on studentized residuals.A partitioned linear regression model has been specified and the ridge regression estimator has been developed by using Internally studentized residual sum of squares.besides these,an Adaptive General Ridge regression estimator's and a new combined restricted ridge regression estimators have been proposed along with iterative procedures for the solutions of elements of ridge parameters matrix.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 216 pp. Englisch. Seller Inventory # 9783659389764
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Linear Regression Models under Multicollinearity : Ridge Regression Inferential Techniques
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659389765
ISBN 13: 9783659389764
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book proposes the various types of new Ridge regression estimators to deal with the problem of multicollinearity in multiple linear regression analysis.An Ordinary ridge regression estimators and an orthonormal( ridge regression estimators have been derived by selecting the values for ridge parameter based on studentized residuals.A partitioned linear regression model has been specified and the ridge regression estimator has been developed by using Internally studentized residual sum of squares.besides these,an Adaptive General Ridge regression estimator's and a new combined restricted ridge regression estimators have been proposed along with iterative procedures for the solutions of elements of ridge parameters matrix. Seller Inventory # 9783659389764