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Goodness of fit tests for Rayleigh distribution based on Phi-divergence [PDF]
Revista Colombiana de Estadística, 2017 In this paper, we develop some goodness of fit tests for Rayleigh distribution based on Phi-divergence. Using Monte Carlo simulation, we compare the power of the proposed tests with some traditional goodness of fit tests including Kolmogorov-Smirnov ...
Mahdi Mahdizadeh , Ehsan Zamanzade
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Goodness–of–Fit Tests for Bivariate Time Series of Counts
Econometrics, 2021 This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being
Šárka Hudecová +2 more
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A Review of Goodness-of-Fit Tests for the Rayleigh Distribution
Austrian Journal of Statistics, 2023 The Rayleigh distribution has recently become popular as a model for a range of phenomena. As a result, a number of goodness-of-fit tests have been developed for this distribution.
Shawn Liebenberg, James Allison
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On Goodness-of-Fit Tests for the Neyman Type A Distribution
Revstat Statistical Journal, 2023 The two-parameter Neyman type A distribution is quite useful for modeling count data, since it corresponds to a simple, flexible and overdispersed discrete distribution, which is also zero[1]inflated.
Apostolos Batsidis, Artur J. Lemonte
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On the Goodness of Fit Tests for the Burr Failure Model. [PDF]
The Egyptian Statistical Journal, 1997 The Burr type XII distribution yields a wide range of values of skewness and kortosis and it can be fitted to almost any given set of data arising from a unimodel distribution, so special attention has been focused on it.
Abd-Allah Abd-Elfattah
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An Extensive Comparisons of 50 Univariate Goodness-of-fit Tests for Normality
Austrian Journal of Statistics, 2022 The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. Given the importance of this subject and the widespread development of normality tests, comprehensive ...
Stanislaus S. Uyanto
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Some Goodness of Fit Tests for Random Sequences
Lithuanian Journal of Statistics, 2013 In this paper we had made an attempt to incorporate the results from the theory of square Gaussian random variables in order to construct the goodness of fits test for random sequences (time series). We considered two versions of such tests.
Yuriy Kozachenko, Tetiana Ianevych
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Asymptotic Pitman's Relative Efficiency
Statistica, 2017 Pitman efficiency is the oldest known efficiency. Most of the known results for computing the Pitman efficiency take the form of bounds. Based on some recent developments due to the authors and some calculus of variations, we develop tools for ...
Christopher S. Withers +1 more
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Goodness-of-fit tests for weibull populations on the basis of records [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 Record is used to reduce the time and cost of running experiments (Doostparast and Balakrishnan, 2010). It is important to check the adequacy of models upon which inferences or actions are based (Lawless, 2003, Chapter 10, p. 465).
Mahdi Doostparast
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A Comparative Study of Goodness-of-Fit Tests for the Laplace Distribution
Austrian Journal of Statistics, 2022 The Laplace distribution is one of the earliest distributions in probability theory and is a frequently used distribution in many fields. Consequently, various goodness-of-fit tests for the Laplace distribution have been thoroughly derived in the ...
Apostolos Batsidis +2 more
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