Inference in Linear Models With Auto Correlated Disturbances: Iterative Estimation for Autoregressive models

 
9783659504037: Inference in Linear Models With Auto Correlated Disturbances: Iterative Estimation for Autoregressive models

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'

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

About the Author :

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Chalapathi Rao M V, Pagadala Balasiddamuni, Prabhakara Naik J
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Chalapathi Rao, M. V. / Pagadala, Balasiddamuni
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Description du livre État : New. Publisher/Verlag: LAP Lambert Academic Publishing | Iterative Estimation for Autoregressive models | 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' | Format: Paperback | Language/Sprache: english | 144 pp. N° de réf. du libraire K9783659504037

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Chalapathi Rao M.V.; Pagadala Balasiddamuni; Prabhakara Naik J.
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Chalapathi Rao M.V.
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M. V. Chalapathi Rao
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Description du livre LAP Lambert Academic Publishing Jan 2014, 2014. Taschenbuch. État : Neu. 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. N° de réf. du libraire 9783659504037

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M. V. Chalapathi Rao
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Description du livre LAP Lambert Academic Publishing Jan 2014, 2014. Taschenbuch. État : Neu. 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. N° de réf. du libraire 9783659504037

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Chalapathi Rao M V, Pagadala Balasiddamuni, Prabhakara Naik J
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Description du livre LAP Lambert Academic Publishing, United States, 2014. Paperback. État : New. Language: English . Brand New Book ***** Print on Demand *****.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. N° de réf. du libraire AAV9783659504037

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M. V. Chalapathi Rao
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Description du livre LAP Lambert Academic Publishing Jan 2014, 2014. Taschenbuch. État : Neu. This item is printed on demand - Print on Demand 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. N° de réf. du libraire 9783659504037

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