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In the Present book Chapter I is an introductory one. It contains the general introduction about the problem of heteroscedasticity. Chapter II describes some aspects of linear models with their inferential problems. It deals with some basic statistical results about Gauss-Markov linear model besides the restricted least squares estimation and its application to the tests of general linear hypotheses. Chapter III presents a brief review on the existing estimation methods for linear models under the various specifications of heteroscedastic variances. Chapter IV deals with the analysis and examination of different types of residuals with their applications in the regression analysis. It also contains the restricted residuals in ‘Seemingly Unrelated Regression’ (SUR) systems. Chapter V proposes some new estimation procedures for linear models under heteroscedasticity. Chapter VI depicts the conclusions .Several references articles regarding the estimation for linear models under heteroscedasticity have been presented under a title “BIBLIOGRAPHY”.
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L'autore
Dr. R.V.S. Prasad is a Associate Professor of Statistics & Principal, S.V.G.S Degree College, Nellore, A. P. State, India. He has 29 years of Teaching and Research Experience. He published 6 books,13 articles in International Journals. He presented 20 research papers in various National/International Conferences, Seminars and Symposiums.
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Estimation of Linear Models Under Heteroscedasticity
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LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659503452
ISBN 13: 9783659503450
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the Present book Chapter I is an introductory one. It contains the general introduction about the problem of heteroscedasticity. Chapter II describes some aspects of linear models with their inferential problems. It deals with some basic statistical results about Gauss-Markov linear model besides the restricted least squares estimation and its application to the tests of general linear hypotheses. Chapter III presents a brief review on the existing estimation methods for linear models under the various specifications of heteroscedastic variances. Chapter IV deals with the analysis and examination of different types of residuals with their applications in the regression analysis. It also contains the restricted residuals in 'Seemingly Unrelated Regression' (SUR) systems. Chapter V proposes some new estimation procedures for linear models under heteroscedasticity. Chapter VI depicts the conclusions .Several references articles regarding the estimation for linear models under heteroscedasticity have been presented under a title 'BIBLIOGRAPHY'. 164 pp. Englisch. Codice articolo 9783659503450
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Estimation of Linear Models Under Heteroscedasticity
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prasad R.V.S.Dr. R.V.S. Prasad is a Associate Professor of Statistics & Principal, S.V.G.S Degree College, Nellore, A. P. State, India. He has 29 years of Teaching and Research Experience. He published 6 books,13 articles in Internat. Codice articolo 5160626
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Estimation of Linear Models Under Heteroscedasticity
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Estimation of Linear Models Under Heteroscedasticity
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Estimation of Linear Models Under Heteroscedasticity
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Estimation of Linear Models Under Heteroscedasticity
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ISBN 13: 9783659503450
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the Present book Chapter I is an introductory one. It contains the general introduction about the problem of heteroscedasticity. Chapter II describes some aspects of linear models with their inferential problems. It deals with some basic statistical results about Gauss-Markov linear model besides the restricted least squares estimation and its application to the tests of general linear hypotheses. Chapter III presents a brief review on the existing estimation methods for linear models under the various specifications of heteroscedastic variances. Chapter IV deals with the analysis and examination of different types of residuals with their applications in the regression analysis. It also contains the restricted residuals in 'Seemingly Unrelated Regression' (SUR) systems. Chapter V proposes some new estimation procedures for linear models under heteroscedasticity. Chapter VI depicts the conclusions .Several references articles regarding the estimation for linear models under heteroscedasticity have been presented under a title 'BIBLIOGRAPHY'.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Codice articolo 9783659503450
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Estimation of Linear Models Under Heteroscedasticity : Inference with Heteroscedastic Errors
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659503452
ISBN 13: 9783659503450
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the Present book Chapter I is an introductory one. It contains the general introduction about the problem of heteroscedasticity. Chapter II describes some aspects of linear models with their inferential problems. It deals with some basic statistical results about Gauss-Markov linear model besides the restricted least squares estimation and its application to the tests of general linear hypotheses. Chapter III presents a brief review on the existing estimation methods for linear models under the various specifications of heteroscedastic variances. Chapter IV deals with the analysis and examination of different types of residuals with their applications in the regression analysis. It also contains the restricted residuals in 'Seemingly Unrelated Regression' (SUR) systems. Chapter V proposes some new estimation procedures for linear models under heteroscedasticity. Chapter VI depicts the conclusions .Several references articles regarding the estimation for linear models under heteroscedasticity have been presented under a title 'BIBLIOGRAPHY'. Codice articolo 9783659503450
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Estimation of Linear Models Under Heteroscedasticity: Inference with Heteroscedastic Errors
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659503452
ISBN 13: 9783659503450
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