A Fast and Numerically Robust Method for Exact Multinomial Goodness-of-Fit Test
نویسندگان
چکیده
منابع مشابه
A Fast and Numerically Robust Method for Exact Multinomial Goodness-of-Fit Test
Evaluating the significance of goodness-of-fits tests for multinomial data in general, and estimating the p value of the log-likelihood ratio statistic G in particular, have been studied extensively in the statistical literature. The methods for computing the latter can be broadly divided into two categories: asymptotic approximations and exact methods. In many applications in bioinformatics on...
متن کاملPackage 'emt' Title Exact Multinomial Test: Goodness-of-fit Test for Discrete Multivariate Data
February 15, 2013 Type Package Title Exact Multinomial Test: Goodness-of-Fit Test for Discrete Multivariate data Version 1.1 Date 2013-01-27 Author Uwe Menzel Maintainer Uwe Menzel Description The package provides functions to carry out a Goodness-of-fit test for discrete multivariate data. It is tested if a given observation is likely to have occurred under the assumption...
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In this paper, we introduce a goodness of fit test for expo- nentiality based on Lin-Wong divergence measure. In order to estimate the divergence, we use a method similar to Vasicek’s method for estimat- ing the Shannon entropy. The critical values and the powers of the test are computed by Monte Carlo simulation. It is shown that the proposed test are competitive with other tests of exponentia...
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Extended Abstract. Suppose n i.i.d. observations, X1, …, Xn, are available from the unknown distribution F(.), goodness-of-fit tests refer to tests such as H0 : F(x) = F0(x) against H1 : F(x) $neq$ F0(x). Some nonparametric tests such as the Kolmogorov--Smirnov test, the Cramer-Von Mises test, the Anderson-Darling test and the Watson test have been suggested by comparing empirical ...
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The most frequency used goodness of fit tests are based on measuring the distance between the theoretical distribution function and the empirical distribution function (EDF), but presence of outliers influences these tests strongly. In this study, we propose a simple robust method for goodness of fit test by using the “Forward Search” (FS) method. The FS method is a powerful general method for ...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2006
ISSN: 1061-8600,1537-2715
DOI: 10.1198/106186006x159377