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Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution
AxiomsWhen modeling real-world data, we face the challenge of determining which probability distribution best represents the data. To address this intricate problem, we rely on goodness-of-fit tests.
Francisco Novoa-Muñoz +1 more
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A simple non-parametric goodness-of-fit test for elliptical copulas
Dependence Modeling, 2017 In this paper, we propose a simple non-parametric goodness-of-fit test for elliptical copulas of any dimension. It is based on the equality of Kendall’s tau and Blomqvist’s beta for all bivariate margins.
Jaser Miriam, Haug Stephan, Min Aleksey
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Mathematics, 2020 The extreme value theory is expanded by proposing and studying a new version of the Fréchet model. Some new bivariate type extensions using Farlie–Gumbel–Morgenstern copula, modified Farlie–Gumbel–Morgenstern copula, Clayton copula, and Renyi’s entropy ...
Mukhtar M. Salah +3 more
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Jurnal Pendidikan Ekonomi dan Bisnis (JPEB), 2017 The purpose of this research to create the boder region of investment development model, the maritime industry investment development model and Free Trade Zone development model effect on increase the welfare of coastal communities.The research location ...
Tumpal Manik +2 more
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Goodness-of-Fit Tests to study the Gaussianity of the MAXIMA data
, 2003 Goodness-of-Fit tests, including Smooth ones, are introduced and applied to detect non-Gaussianity in Cosmic Microwave Background simulations. We study the power of three different tests: the Shapiro-Francia test (1972), the uncategorised smooth test ...
Aliaga A.M. +11 more
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Goodness of Fit Test and Test of Independence by Entropy
Journal of Mathematical Extension, 2009 To test whether a set of data has a specific distribution or not, we can use the goodness of fit test. This test can be done by one of Pearson X 2 -statistic or the likelihood ratio statistic G 2 , which are asymptotically equal, and also by using
M. Sharifdoost, N. Nematollahi, E. Pasha
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Goodness-of-Fit Test of Shapiro-Wilk Type with Nuisance Regression and Scale
Austrian Journal of Statistics, 2016 Shapiro and Wilk (1965) proposed a highly intuitive goodness-of-fit test of normality with nuisance location and scale parameters. The test has received a considerable attention in the literature; its asymptotic null distribution is covered by the ...
Pranab Kumar Sen +2 more
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Sampling From A Manifold [PDF]
, 2012 We develop algorithms for sampling from a probability distribution on a submanifold embedded in Rn. Applications are given to the evaluation of algorithms in 'Topological Statistics'; to goodness of fit tests in exponential families and to Neyman's ...
Mehrdad Shahshahani +5 more
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Informative Features for Model Comparison [PDF]
, 2018 Given two candidate models, and a set of target observations, we address the problem of measuring the relative goodness of fit of the two models. We propose two new statistical tests which are nonparametric, computationally efficient (runtime complexity ...
Gretton, Arthur +5 more
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Benford's Law and Possibilities for Its Use in Governmental Statistics [PDF]
Statistika: Statistics and Economy Journal, 2015 Benford's Law (sometimes also called Benford's Distribution or Benford's Test) is one of the possible tools for verification of a data structure in a given file regarding the relative frequencies of occurrence of the fi rst (or second, etc.) digit from ...
Richard Hindls, Stanislava Hronová
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