A Modi ed Entropy-Based Goodness-of-Fit Tes for Inverse Gaussian Distribution
نویسندگان
چکیده
منابع مشابه
Goodness–of–fit Tests for the Inverse Gaussian Distribution Based on the Empirical Laplace Transform
This paper considers two flexible classes of omnibus goodness-of-fit tests for the inverse Gaussian distribution. The test statistics are weighted integrals over the squared modulus of some measure of deviation of the empirical distribution of given data from the family of inverse Gaussian laws, expressed by means of the empirical Laplace transform. Both classes of statistics are connected to t...
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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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ژورنال
عنوان ژورنال: Korean Journal of Applied Statistics
سال: 2011
ISSN: 1225-066X
DOI: 10.5351/kjas.2011.24.2.383