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 in Nonparametric Regression [PDF]
SSRN Electronic Journal, 2006 AMS classifications: 62G08, 62G10, 62G20, 62G30; 60F17.
Einmahl, J.H.J., Keilegom, I. van
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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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A systematic approach to modeling monthly maximum temperature and total rainfall in Kenya [PDF]
Scientific ReportsGoodness of fit (GOF) test approaches for selecting probability distributions of climatic variables are pervasive in the statistical literature. However, a combined approach of multiple tests remains underutilized despite evidence supporting their ...
Kevin Otieno +3 more
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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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Tuning goodness-of-fit tests† [PDF]
Monthly Notices of the Royal Astronomical Society, 2019 As modern precision cosmological measurements continue to show agreement with the broad features of the standard $ $-Cold Dark Matter ($ $CDM) cosmological model, we are increasingly motivated to look for small departures from the standard model's predictions which might not be detected with standard approaches.
A Arrasmith, B Follin, E Anderes, L Knox
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