Ralph B. D'Agostino

Goodness-of-Fit-Techniques (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction , and also collecting methods of testing for specific famous distributions, this usefulreference is the fust comprehensive

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 576
• Erscheinungstermin: 19. Oktober 2017
• Englisch
• ISBN-13: 9781351444552
• Artikelnr.: 49997409

Inhaltsangabe

"Overview, Ralph B. D'Agostino and Michael A. Stephens Graphical Analysis, Ralph B. D'Agostino Tests of Chi-Squared Type, David S. Moore Tests Based on EDF Statistics, Michael A. Stephens Tests Based on Regression and Correlation, Michael A. Stephens Some Transformation Methods in Goodness-of-Fit, Charles P. Quesenberry Moment (Öb1, b2 ) Techniques, K. O. Bowman and L. R. Shenton Tests for the Uniform Distribution, Michael A. Stephens Tests for the Normal Distribution, Ralph B. D,Agostino Tests for the Exponential Disrtibution, Michael A. Stephens Analysis of Data from Censored Samples, John R. Michael and William R. Schucany The Analysis and Detection of Outliers, Gary L. Tietjen Appendix Table 1: Cumulative Distribution Function of the Standard Normal Distribution Table 2: Critical Values of the Chi-Square Distribution Simulated Data Sets Real Data Sets "

Rezensionen

". . .a comprehensive book, well presented and clearly written. "
---The New Zealand Statistician
". . .Chapters contain some theory but they are mainly directed toward application with some numerical illustrations which generally use simulated sets to be found in the Appendix. . .The level of exposition is generally clear and direct. . .the book should prove useful to practising statisticians. "
---Short Book Reviews (International Statistical Institute)
". . .the authors have carried out the helpful task of bringing together into a useful reference volume a large amount of material on an interesting topic which has previously been scattered throughout the literature. "
---Royal Statistical Society