Sinopsis
In the Present Book Chapter-I is an introductory one. It contains the general introduction about the problem of nonnormal disturbances in linear statistical models, Chapter-II deals with the consequences of nonnormal disturbances in linear statistical models under finite and infinite variances of disturbances and It explains a few Robust estimators.Chapter-III describes the review about the various existing tests for normality of observations. It deals with Shapiro-Wilk 'W' test for normality and it's extensions along with the comparative study of various statistical procedures for evaluating the normality of a complete sample. Chapter - IV proposes some new test procedures for testing the normality of disturbances in linear statistical models by using the various types of residuals namely, studentized, predicted, recursive and Best Linear Unbiased Scalar (BLUS) residuals.Chapter -V presents the conclusions.Several selected references have been documented under a separate caption 'BIBLIOGRAPHY'.
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Acerca del autor
He is working as senior faculty in S.G.S Arts College, Tirupati. He has 14 years of teaching & 8 years Research Experience. He handles Bio-statistics & Mathematics for Pharmacy and Veterinary Science Students.He has 8 years Research Experience .He published 3 Papers & Presented 8 Papers in National/International Journals/Seminars/Workshops.
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Testing Normality In Linear Statistical Models
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LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659502839
ISBN 13: 9783659502835
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: 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 nonnormal disturbances in linear statistical models, Chapter-II deals with the consequences of nonnormal disturbances in linear statistical models under finite and infinite variances of disturbances and It explains a few Robust estimators.Chapter-III describes the review about the various existing tests for normality of observations. It deals with Shapiro-Wilk 'W' test for normality and it's extensions along with the comparative study of various statistical procedures for evaluating the normality of a complete sample. Chapter - IV proposes some new test procedures for testing the normality of disturbances in linear statistical models by using the various types of residuals namely, studentized, predicted, recursive and Best Linear Unbiased Scalar (BLUS) residuals.Chapter -V presents the conclusions.Several selected references have been documented under a separate caption 'BIBLIOGRAPHY'. 144 pp. Englisch. Nº de ref. del artículo: 9783659502835
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Testing Normality In Linear Statistical Models
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659502839
ISBN 13: 9783659502835
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vijaya Kuma KandunuruHe is working as senior faculty in S.G.S Arts College, Tirupati. He has 14 years of teaching & 8 years Research Experience. He handles Bio-statistics & Mathematics for Pharmacy and Veterinary Science Students.He . Nº de ref. del artículo: 5160569
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Testing Normality In Linear Statistical Models
Publicado por
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659502839
ISBN 13: 9783659502835
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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 nonnormal disturbances in linear statistical models, Chapter-II deals with the consequences of nonnormal disturbances in linear statistical models under finite and infinite variances of disturbances and It explains a few Robust estimators.Chapter-III describes the review about the various existing tests for normality of observations. It deals with Shapiro-Wilk ¿W¿ test for normality and it¿s extensions along with the comparative study of various statistical procedures for evaluating the normality of a complete sample. Chapter ¿ IV proposes some new test procedures for testing the normality of disturbances in linear statistical models by using the various types of residuals namely, studentized, predicted, recursive and Best Linear Unbiased Scalar (BLUS) residuals.Chapter ¿V presents the conclusions.Several selected references have been documented under a separate caption ¿BIBLIOGRAPHY¿.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch. Nº de ref. del artículo: 9783659502835
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Testing Normality In Linear Statistical Models : Inference with Non Normal Errors
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659502839
ISBN 13: 9783659502835
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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 nonnormal disturbances in linear statistical models, Chapter-II deals with the consequences of nonnormal disturbances in linear statistical models under finite and infinite variances of disturbances and It explains a few Robust estimators.Chapter-III describes the review about the various existing tests for normality of observations. It deals with Shapiro-Wilk 'W' test for normality and it's extensions along with the comparative study of various statistical procedures for evaluating the normality of a complete sample. Chapter - IV proposes some new test procedures for testing the normality of disturbances in linear statistical models by using the various types of residuals namely, studentized, predicted, recursive and Best Linear Unbiased Scalar (BLUS) residuals.Chapter -V presents the conclusions.Several selected references have been documented under a separate caption 'BIBLIOGRAPHY'. Nº de ref. del artículo: 9783659502835
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