An R package for testing goodness of fit: goft
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Publication:4960571
DOI10.1080/00949655.2017.1404604OpenAlexW2771058404MaRDI QIDQ4960571
José A. Villaseñor, Elizabeth González-Estrada
Publication date: 23 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2017.1404604
hypothesis testingprobability distributionsAnderson-Darling testShapiro-Wilk testdata transformationstests of fitcorrelation tests
Related Items (4)
Sequential estimation of an inverse Gaussian mean with known coefficient of variation ⋮ Ordered classification rules for inverse gaussian populations with unknown parameters ⋮ cvmgof: an R package for Cramér–von Mises goodness-of-fit tests in regression models ⋮ goft
Uses Software
Cites Work
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- A Generalization of Shapiro–Wilk's Test for Multivariate Normality
- A ratio goodness-of-fit test for the Laplace distribution
- Tests of fit for inverse Gaussian distributions
- A bootstrap goodness of fit test for the generalized Pareto distribution
- Statistical inference using extreme order statistics
- A variance ratio test of fit for Gamma distributions
- The Bias in Certain Estimates of the Parameters of the Extreme-Value Distribution
- A Goodness-of-Fit Test for Location-Scale Max-Stable Distributions
- A Correlation Test for Normality Based on the Lévy Characterization
- An analysis of variance test for normality (complete samples)
- Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
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