References in zbMATH (referenced in 10 articles , 1 standard article )

Showing results 1 to 10 of 10.
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  1. Justine Lequesne, Philippe Regnault: vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence (2020) not zbMATH
  2. Marange, C. S.; Qin, Y.: A moment-based empirical likelihood ratio test for exponentiality using the probability integral transformation (2019)
  3. González-Estrada, E.; Villaseñor, J. A.: An R package for testing goodness of fit: goft (2018)
  4. Marange, C. S.; Qin, Y.: A simple empirical likelihood ratio test for normality based on the moment constraints of a half-normal distribution (2018)
  5. Zhao, Yang; Vexler, Albert; Hutson, Alan; Chen, Xiwei: A statistical software procedure for exact parametric and nonparametric likelihood-ratio tests for two-sample comparisons (2017)
  6. Hart, Jeffrey D.; Choi, Taeryon; Yi, Seongbaek: Frequentist nonparametric goodness-of-fit tests via marginal likelihood ratios (2016)
  7. Noughabi, Hadi Alizadeh; Vexler, Albert: An efficient correction to the density-based empirical likelihood ratio goodness-of-fit test for the inverse Gaussian distribution (2016)
  8. Jose M. Pavia: Testing Goodness-of-Fit with the Kernel Density Estimator: GoFKernel (2015) not zbMATH
  9. Noughabi, Hadi Alizadeh: Empirical likelihood ratio-based goodness-of-fit test for the logistic distribution (2015)
  10. Jeffrey Miecznikowski; Albert Vexler; Lori Shepherd: dbEmpLikeGOF: An R Package for Nonparametric Likelihood Ratio Tests for Goodness-of-Fit and Two-Sample Comparisons Based on Sample Entropy (2013) not zbMATH