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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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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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
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Assessing Conformance with Benford's Law: Goodness-Of-Fit Tests and Simultaneous Confidence Intervals. [PDF]
PLoS ONE, 2016 Benford's Law is a probability distribution for the first significant digits of numbers, for example, the first significant digits of the numbers 871 and 0.22 are 8 and 2 respectively.
M Lesperance +4 more
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Goodness-of-fit tests for the Compound Rayleigh distribution with application to real data [PDF]
Heliyon, 2019 An important problem in statistics is to obtain information about the form of the population from which the sample is drawn. Goodness of fit (GOF) tests is employed to determine how well the observed sample data “fits” some proposed model. The well known
Majdah M. Badr
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Goodness-of-fit tests and model diagnostics for negative binomial regression of RNA sequencing data. [PDF]
PLoS ONE, 2015 This work is about assessing model adequacy for negative binomial (NB) regression, particularly (1) assessing the adequacy of the NB assumption, and (2) assessing the appropriateness of models for NB dispersion parameters.
Gu Mi, Yanming Di, Daniel W Schafer
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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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Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem [PDF]
BMC Neuroscience, 2010 Haslinger Robert +2 more
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