Inference in Linear Models With Auto Correlated Disturbances: Iterative Estimation for Autoregressive models - Brossura
Sinossi
In the Present Book Chapter-I is an introductory one. It contains the general introduction about the problem of autocorrelation . Chapter-II presents statistical inferential problems in linear models. It explains the specification of classical linear regression model together with its estimation. Chapter-III describes the review about inferential methods in linear models under the problem of autocorrelation. Chapter-IV proposes some alternative inferential methods for linear model with autocorrelated disturbances. It uses the various types of residuals such as ordinary least squares, studentized and predicted residuals to develop alternative iterative estimation methods and tests for the autocorrelation. Chapter-V depicts the conclusions. Several selected references for the present book are given under the title 'BIBLIOGRAPHY'
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L'autore
He is Presently working as a Reader in Jawahar Bharati Degree/P.G College (NACC-A Grade & CPE),Kavali.He has 27 years Teaching & Research Experience in the Field of Statistics.He Presented Several Research Papers Many more Conferences in all over India.He published Several Articles in Many Reputed Journals.
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Inference in Linear Models With Auto Correlated Disturbances
Editore:
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659504033
ISBN 13: 9783659504037
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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 autocorrelation . Chapter-II presents statistical inferential problems in linear models. It explains the specification of classical linear regression model together with its estimation. Chapter-III describes the review about inferential methods in linear models under the problem of autocorrelation. Chapter-IV proposes some alternative inferential methods for linear model with autocorrelated disturbances. It uses the various types of residuals such as ordinary least squares, studentized and predicted residuals to develop alternative iterative estimation methods and tests for the autocorrelation. Chapter-V depicts the conclusions. Several selected references for the present book are given under the title 'BIBLIOGRAPHY' 144 pp. Englisch. Codice articolo 9783659504037
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Inference in Linear Models With Auto Correlated Disturbances
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659504033
ISBN 13: 9783659504037
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chalapathi Rao M.V.He is Presently working as a Reader in Jawahar Bharati Degree/P.G College (NACC-A Grade & CPE),Kavali.He has 27 years Teaching & Research Experience in the Field of Statistics.He Presented Several Research Papers. Codice articolo 5160673
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Inference in Linear Models With Auto Correlated Disturbances
Editore:
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659504033
ISBN 13: 9783659504037
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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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 autocorrelation . Chapter-II presents statistical inferential problems in linear models. It explains the specification of classical linear regression model together with its estimation. Chapter-III describes the review about inferential methods in linear models under the problem of autocorrelation. Chapter-IV proposes some alternative inferential methods for linear model with autocorrelated disturbances. It uses the various types of residuals such as ordinary least squares, studentized and predicted residuals to develop alternative iterative estimation methods and tests for the autocorrelation. Chapter-V depicts the conclusions. Several selected references for the present book are given under the title 'BIBLIOGRAPHY'Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch. Codice articolo 9783659504037
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Inference in Linear Models With Auto Correlated Disturbances : Iterative Estimation for Autoregressive models
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659504033
ISBN 13: 9783659504037
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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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 autocorrelation . Chapter-II presents statistical inferential problems in linear models. It explains the specification of classical linear regression model together with its estimation. Chapter-III describes the review about inferential methods in linear models under the problem of autocorrelation. Chapter-IV proposes some alternative inferential methods for linear model with autocorrelated disturbances. It uses the various types of residuals such as ordinary least squares, studentized and predicted residuals to develop alternative iterative estimation methods and tests for the autocorrelation. Chapter-V depicts the conclusions. Several selected references for the present book are given under the title 'BIBLIOGRAPHY'. Codice articolo 9783659504037
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Inference in Linear Models With Auto Correlated Disturbances: Iterative Estimation for Autoregressive models
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659504033
ISBN 13: 9783659504037
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paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA80036595040336
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