Goodness-of-fit techniques [texte imprimé] / Ralph B. D'agostino, Auteur ; Michael A. Stephens, Auteur . - Dekker M., 1986 . - xviii, 560 p. - (Statistics, textbooks and monographs,; 68) .
ISBN : 978-0-8247-7487-5
Langues : Anglais (eng)

Catégories :	mathematical statistics
Index. décimale :	519.5 Statistique mathématique; Statistiques pour ingénieurs
Résumé :	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.review of the extensive literature on the subject. It surveysthe leading methods of testing fit . . provides tables to make the tests available . . assessesthe comparative merits of different test procedures . . and supplies numerical examples to aidin understanding these techniques. Goodness-of-Fit Techniques shows how to apply the techniques . . emphasizes testing for thethree major distributions, normal, exponential, and uniform . . discusses the handling of censoreddata . . and contains over 650 bibliographic citations that cover the field. Illustrated with tables and drawings, this volume is an ideal reference for mathematical andapplied statisticians, and biostatisticians; professionals in applied science fields, including psychologists, biometricians, physicians, and quality control and reliability engineers; advancedundergraduate- and graduate-level courses on goodness-of-fit techniques; and professional seminarsand symposia on applied statistics, quality control, and reliability.
Note de contenu :	Ch. 1. Overview -- Ch. 2. Graphical Analysis -- Ch. 3. Tests of Chi-Squared Type -- Ch. 4. Tests Based on EDF Statistics -- Ch. 5. Tests based on Regression and Correlation -- Ch. 6. Some Transformation Methods in Goodness-Of-Fit -- Ch. 7. Moment (Square Root b1, b2) Techniques -- Ch. 8. Tests for the Uniform Distribution -- Ch. 9. Tests for the Normal Distribution -- Ch. 10. Tests for the Exponential Distribution -- Ch. 11. Analysis of Data from Censored Samples -- Ch. 12. The Analsis and Detection of Outliers.