Results 11 to 20 of about 400,578 (220)
Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications [PDF]
Entropy, 2020 The Bayesian information criterion (BIC), the Akaike information criterion (AIC), and some other indicators derived from them are widely used for model selection.
Riccardo Rossi +3 more
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Goodness of fit tests for random multigraph models. [PDF]
J Appl Stat, 2023 Goodness of fit tests for two probabilistic multigraph models are presented. The first model is random stub matching given fixed degrees (RSM) so that edge assignments to vertex pair sites are dependent, and the second is independent edge assignments ...
Shafie T.
europepmc +2 more sources
Pearson's goodness-of-fit tests for sparse distributions. [PDF]
J Appl Stat, 2023 Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distribution function. When the number of sets of the categorical data, say k, is a fixed integer, Pearson's chi-squared test statistic ...
Chang S, Li D, Qi Y.
europepmc +3 more sources
Bayesian estimation of extropy and goodness of fit tests. [PDF]
J Appl Stat, 2022 Extropy, a complementary dual of entropy, is considered in this paper. A Bayesian approach based on the Dirichlet process is proposed for the estimation of extropy. A goodness of fit test is also developed.
Al-Labadi L, Berry S.
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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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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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Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures [PDF]
EntropyWe develop goodness-of-fit (GOF) procedures rooted in Tsallis entropy, with a particular emphasis on multivariate exponential-power (generalized Gaussian) and q-Gaussian models. The GOF statistic compares a closed-form Tsallis entropy under the null with
Mehmet Siddik Cadirci
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Statistical Power of Goodness-of-Fit Tests for Type~I Left-Censored Data
Austrian Journal of Statistics, 2023 Type I doubly left-censored data often arise in environmental studies. In this paper, the power of the most frequently used goodness-of-fit tests (Kolmogorov-Smirnov, Cramér-von Mises, Anderson-Darling) is studied considering various sample sizes and ...
Michal Fusek
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Multinomial Goodness-Of-Fit Tests
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1984 SUMMARY This article investigates the family {I λ;λ ϵ ℝ} of power divergence statistics for testing the fit of observed frequencies {Xi; i = 1, …, k} to expected frequencies {Ei; i = 1, …, k}. From the definition 2nIλ=2λ(λ+1)∑i=1kXi{(XiEi)λ−1};λ∈ℝ it can easily be seen that Pearson's X 2 (λ = 1), the log likelihood ratio
Cressie, Noel A, Read, Timothy
openaire +3 more sources
An Evaluation of Overall Goodness-of-Fit Tests for the Rasch Model [PDF]
Frontiers in Psychology, 2019 For assessing the fit of item response theory models, it has been suggested to apply overall goodness-of-fit tests as well as tests for individual items and item pairs.
Rudolf Debelak
doaj +2 more sources