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More copies of this ISBN:Other titles in the Statistics for Industry and Technology series:
Goodness-Of-Fit Tests and Model Validity (Statistics for Industry and Technology)by Catharine Huber
Synopses & ReviewsPublisher Comments:The 37 expository articles in this volume provide broad coverage of important topics relating to the theory, methods, and applications of goodness-of-fit tests and model validity. The book is divided into eight parts, each of which presents topics written by expert researchers in their areas. Key features include: * state-of-the-art exposition of modern model validity methods, graphical techniques, and computer-intensive methods * systematic presentation with sufficient history and coverage of the fundamentals of the subject * exposure to recent research and a variety of open problems * many interesting real life examples for practitioners * extensive bibliography, with special emphasis on recent literature * subject index This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners in the field. Synopsis:The 37 expository articles in this volume provide broad coverage of important topics relating to the theory, methods, and applications of goodness-of-fit tests and model validity. The book is divided into eight parts, each of which presents topics written by expert researchers in their areas. Key features include: * state-of-the-art exposition of modern model validity methods, graphical techniques, and computer-intensive methods * systematic presentation with sufficient history and coverage of the fundamentals of the subject * exposure to recent research and a variety of open problems * many interesting real-life examples for practitioners * extensive bibliography, with special emphasis on recent literature * subject index This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners in the field.
Table of ContentsPreface * Contributors * List of Tables * List of Figures * Part I.History and Fundamentals * 1. Karl Pearson and the Chi-Squared Test(D.R. Cox) * 2. Karl Pearson Chi-Square Test---The Dawn of StatisticalInference (C.R. Rao) * 3. Approximate Models (P.J. Huber) * Part II.Chi-Squared Test * 4. Partitioning the Pearson-Fisher Chi-SquaredGoodness-of-Fit Statistic (G.D. Rayner) * 5. Statistical Tests forNormal Family in Presence of Outlying Observations (A. Zerbet) * 6.Chi-Squared Test for the Law of Annual Death Rates: Case with Censurefor Life Insurance Files (L. Gerville-Reache) * Part III. Goodness-of-Fit Tests for Parametric Distributions * 7. Shapiro-Wilk Type Goodness-of-Fit Tests for Normality: Asymptotics Revisited (P. Kumar Sen) * 8.A Test for Exponentiality Based on Spacings for Progressively Type IICensored Data (N. Balakrishnan/H.K.T. Ng/N. Kannan) * 9. Goodness ofFit Statistics for theExponential Distribution When the Data are Grouped (S. Gulati/J. Neus)* 10. Characterization Theorems and Goodness-of-Fit Tests (C.E.Marchetti/G.S. Mudholkar) * 11. Goodness of Fit Tests Based on RecordData and Generalized Ranked Set Data (B.C. Arnold/R.J. Beaver/E.
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