Inference Linear Models Auto by Chalapathi Rao (5 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2014

      3659504033 / 9783659504037

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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      paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Jan 2014, 2014

      3659504033 / 9783659504037

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2014

      3659504033 / 9783659504037

      • Softcover
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      Seller: moluna, Greven, Germanymoluna

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      Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Jan 2014, 2014

      3659504033 / 9783659504037

      • Softcover
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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: 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'VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2014

      3659504033 / 9783659504037

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: 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'.