## Goodness-of-Fit-TechniquesConveniently 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. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

GRAPHICAL ANALYSIS | 7 |

TESTS OF CHl SQUARED TYPE | 63 |

TESTS BASED ON EDF STATISTlCS | 97 |

TESTS BASED ON REGRESSlON AND CORRELATlON | 195 |

SOME TRANSFORMATION METHODS IN GOODNESSOFFIT | 235 |

MOMENT fsb bz TECHNIQUES | 279 |

TESTS FOR THE UNIFORM DISTRlBUTlON | 331 |

### Common terms and phrases

alternatives Amer analysis Anderson-Darling statistic applied approximation Blometrlka bution calculated Cauchy distribution cells censored data censored sample Chapter CM CM CM complete sample components computed correlation critical values D'Agostino data set density discussed distri distribution function ecdf EDF statistics EDF tests empirical distribution function estimate example expected values exponential distribution Figure Fn(x formulas gamma Gamma distribution give goodness-of-fit goodness-of-flt tests Johnson Bounded kurtosis linear lognormal method Monte Carlo normal distribution null distribution null hypothesis observations obtained omnibus test order statistics outliers p-value Pearson probability plot procedure Quesenberry random sample random variables regression residuals scale parameters Section Shapiro Shenton Significance level skewness spacings standard deviation Stephens tail techniques Technometrlcs test statistic tests based tests for normality tests for uniformity tests of fit tion transformation Type 2 censored upper tall variance vation vector Weibull Weibull distribution zero