References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Castiblanco, Julieth; Cristaldo, Paulo F.; Paiva, Leticia R.; DeSouza, Og: Social context modulates scale-free movements in a social insect (2022)
  2. Daniel Lüdecke; Mattan S. Ben-Shachar; Indrajeet Patil; Philip Waggoner; Dominique Makowski: performance: An R Package for Assessment, Comparison and Testing of Statistical Models (2021) not zbMATH
  3. Ferri-García, Ramón; Castro-Martín, Luis; del Mar Rueda, María: Evaluating machine learning methods for estimation in online surveys with superpopulation modeling (2021)
  4. Kabaila, Paul; Welsh, A. H.; Wijethunga, Christeen: Finite sample properties of confidence intervals centered on a model averaged estimator (2020)
  5. Ann-Kristin Kreutzmann; Sören Pannier; Natalia Rojas-Perilla; Timo Schmid; Matthias Templ; Nikos Tzavidis: The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators (2019) not zbMATH
  6. Fernández, Daniel; Harel, Daphna; Ipeirotis, Panos; McAllister, Tara: Statistical considerations for crowdsourced perceptual ratings of human speech productions (2019)
  7. Jaeger, Byron C.; Edwards, Lloyd J.; Gurka, Matthew J.: An (R^2) statistic for covariance model selection in the linear mixed model (2019)
  8. Lindberg, Heather M.; McKean, Kurt A.; Caraco, T.; Wang, Ing-Nang: Within-host dynamics and random duration of pathogen infection: implications for between-host transmission (2018)
  9. Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos: Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets (2016) arXiv
  10. Vincent Calcagno; Claire de Mazancourt: glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models (2010) not zbMATH
  11. Burnham, Kenneth P.; Anderson, David R.: Model selection and multimodel inference. A practical information-theoretic approach. (2002)