Comparison of Goodness of Fit Tests for Normal Distribution
نویسندگان
چکیده
منابع مشابه
The 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 کاملComparison 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 ...
متن کاملDistribution Free Goodness-of-fit Tests for Linear Processes
This article proposes goodness-of-...t tests based on a linear transformation of Barlett’s Tp¡process, which converges weakly to the standard Brownian motion under the null hypothesis, in the lines suggested by Khmaladze (1981). We show that the proposed test is capable to detect contiguous alternatives converging to the null at rate n¡1=2: A Monte Carlo study illustrates the performance of the...
متن کاملGoodness of fit Tests for Generalized Frechet Distribution
An important problem in statistics is to obtain information about the form of the population from which the sample is drawn. Goodness of fit test is employed to determine how well the observed sample data "fits" some proposed model. The standard goodness of fit statistics are inappropriate when the parameters of the hypothesized distribution are estimated from the data used for the test. In thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Asian Journal of Probability and Statistics
سال: 2018
ISSN: 2582-0230
DOI: 10.9734/ajpas/2018/v1i224507