Goodness-of-Fit and Comparison Tests of the Kolmogorov-Smirnov Type for Bivariate Populations
نویسندگان
چکیده
منابع مشابه
Comparison of the Goodness-of-Fit Tests: the Pearson Chi-square and Kolmogorov-Smirnov Tests
A test for goodness of fit usually involves examining a random sample from some unknown distribution in order to test the null hypothesis that the unknown distribution function is in fact a known, specified function. The Chi-square test can be applied to any univariate distribution for which you can calculate the cumulative distribution function. The Chi-square test does not have good propertie...
متن کاملThe Comparison Between Goodness of Fit Tests for Copula
Copula functions as a model can show the relationship between variables. Appropriate copula function for a specific application is a function that shows the dependency between data in a best way. Goodness of fit tests theoretically are the best way in selection of copula function. Different ways of goodness of fit for copula exist. In this paper we will examine the goodness of fit test...
متن کاملModified Kolmogorov-Smirnov Test of Goodness of Fit
A modified version of the Kolmogorov-Smirnov (KS) test is presented as a tool to assess whether a specified, although arbitrary, probability model is unsuitable to describe the underlying distribution of a set of observations. The KS test computes distances between points of the sample cumulative distribution function and the hypothetical one as absolute differences between them, and then consi...
متن کاملthe investigation of the relationship between type a and type b personalities and quality of translation
چکیده ندارد.
Comparison of Different Goodness-of-fit Tests
Abstract Various distribution free goodness-of-fit test procedures have been extracted from literature. We present two new binning free tests, the univariate three-region-test and the multivariate energy test. The power of the selected tests with respect to different slowly varying distortions of experimental distributions are investigated. None of the tests is optimum for all distortions. The ...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 1994
ISSN: 0090-5364
DOI: 10.1214/aos/1176325636