References in zbMATH (referenced in 79 articles )

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  1. Amin, Muhammad; Ullah, Muhammad Aman; Qasim, Muhammad: Diagnostic techniques for the inverse Gaussian regression model (2022)
  2. Chris Aberson: BetterReg: An R package for Useful Regression Statistics (2022) not zbMATH
  3. Lineu Alberto Cavazani de Freitas, Wagner Hugo Bonat: Hypothesis tests for multiple responses regression models in R: The htmcglm Package (2022) arXiv
  4. Al-Dawsari, Sarah R.; Sultan, Khalaf S.: Modeling of daily confirmed Saudi COVID-19 cases using inverted exponential regression (2021)
  5. Hesamian, Gholamreza; Akbari, Mohammad Ghasem: A robust multiple regression model based on fuzzy random variables (2021)
  6. Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink-Bosman, M., Menke, J., van Aert, R., Fox, J.-P., Hoijtink, H., Rosseel, Y., Wagenmakers, E.-J., van Lissa, C.: BFpack: Flexible Bayes Factor Testing of Scientific Theories in R (2021) not zbMATH
  7. Taylan, Pakize; Yerlikaya-Özkurt, Fatma; Bilgiç Uçak, Burcu; Weber, Gerhard-Wilhelm: A new outlier detection method based on convex optimization: application to diagnosis of Parkinson’s disease (2021)
  8. Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
  9. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  10. Yerlikaya-Özkurt, Fatma; Taylan, Pakize; Tez, Müjgan: Estimation in the partially nonlinear model by continuous optimization (2021)
  11. Bibinger, Markus; Trabs, Mathias: Volatility estimation for stochastic PDEs using high-frequency observations (2020)
  12. Gero Szepannek: An Overview on the Landscape of R Packages for Credit Scoring (2020) arXiv
  13. Hesamian, Gholamreza; Akbari, Mohammad Ghasem: A robust varying coefficient approach to fuzzy multiple regression model (2020)
  14. Lin, Liang-Ching; Chen, Ray-Bing; Lo Huang, Mong-Na; Guo, Meihui: Huber-type principal expectile component analysis (2020)
  15. Chen, Yifan; Sun, Yuejiao; Yin, Wotao: Run-and-inspect method for nonconvex optimization and global optimality bounds for R-local minimizers (2019)
  16. Cribari-Neto, Francisco; Pereira, Inara F. S.: Testing inference in heteroskedastic linear regressions: a comparison of two alternative approaches (2019)
  17. da Silva, Natalia; Alvarez-Castro, Ignacio: Clicks and cliques: exploring the soul of the community (2019)
  18. Haller, Bernhard; Ulm, Kurt; Hapfelmeier, Alexander: A simulation study comparing different statistical approaches for the identification of predictive biomarkers (2019)
  19. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  20. Jonathon Love; Ravi Selker; Maarten Marsman; Tahira Jamil; Damian Dropmann; Josine Verhagen; Alexander Ly; Quentin Gronau; Martin Šmíra; Sacha Epskamp; Dora Matzke; Anneliese Wild; Patrick Knight; Jeffrey Rouder; Richard Morey; Eric-Jan Wagenmakers: JASP: Graphical Statistical Software for Common Statistical Designs (2019) not zbMATH

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