Testing Normality In Linear Statistical Models: Inference with Non Normal Errors

 
9783659502835: Testing Normality In Linear Statistical Models: Inference with Non Normal Errors

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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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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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Inference with Non Normal Errors | 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 . | Format: Paperback | Language/Sprache: english | 144 pp. Bookseller Inventory # K9783659502835

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Book Description LAP Lambert Academic Publishing Jan 2014, 2014. Taschenbuch. Book Condition: Neu. 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. Bookseller Inventory # 9783659502835

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Book Description LAP Lambert Academic Publishing Jan 2014, 2014. Taschenbuch. Book Condition: Neu. 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. Bookseller Inventory # 9783659502835

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Book Description LAP Lambert Academic Publishing Jan 2014, 2014. Taschenbuch. Book Condition: 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 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. Bookseller Inventory # 9783659502835

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Book Description LAP Lambert Academic Publishing, United States, 2014. Paperback. Book Condition: 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 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 . Bookseller Inventory # AAV9783659502835

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Book Description LAP Lambert Academic Publishing. Paperback. Book Condition: New. Paperback. 144 pages. Dimensions: 8.7in. x 5.9in. x 0.3in.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 its 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783659502835

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