References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Betsch, Steffen; Ebner, Bruno: Testing normality via a distributional fixed point property in the Stein characterization (2020)
  2. Izhar Asael Alonzo Matamoros, Alicia Nieto-Reyes: An R package for Normality in Stationary Processes (2020) arXiv
  3. Justine Lequesne, Philippe Regnault: vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence (2020) not zbMATH
  4. Sánchez-Espigares, José A.; Grima, Pere; Marco-Almagro, Lluís: Graphical comparison of normality tests for unimodal distribution data (2019)
  5. Alicja Gosiewska; Przemyslaw Biecek: auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic (2018) arXiv
  6. Duller, Christine: Introduction to nonparametric statistics with SAS, R and SPSS. An application-oriented text and working book (2018)
  7. González-Estrada, E.; Villaseñor, J. A.: An R package for testing goodness of fit: goft (2018)
  8. Pierre Lafaye de Micheaux and Viet Tran: PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R (2016) not zbMATH
  9. Stojanović, Vladica S.; Popović, Biljana Č.; Milovanović, Gradimir V.: The Split-SV model (2016)
  10. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  11. Joenssen, Dieter W.; Vogel, Jürgen: A power study of goodness-of-fit tests for multivariate normality implemented in R (2014)
  12. 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
  13. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  14. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)
  15. Nolan, John P.: R as a tool in computational finance (2012)
  16. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)