References in zbMATH (referenced in 80 articles )

Showing results 1 to 20 of 80.
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  1. Amatya, Anup; Demirtas, Hakan: PoisNor: an R package for generation of multivariate data with Poisson and normal marginals (2017)
  2. Cheung, Pierina; Rubenson, Miriam; Barner, David: To infinity and beyond: children generalize the successor function to all possible numbers years after learning to count (2017) MathEduc
  3. Cho, Sun-Joo; Goodwin, Amanda P.: Modeling learning in doubly multilevel binary longitudinal data using generalized linear mixed models: an application to measuring and explaining word learning (2017)
  4. Davies, Vinny; Reeve, Richard; Harvey, William T.; Maree, Francois F.; Husmeier, Dirk: A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution (2017)
  5. Fuchs, Nicole; Pölz, Werner; Bathke, Arne C.: Confidence intervals for population means of partially paired observations (2017)
  6. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  7. Jeon, Minjeong; Rijmen, Frank; Rabe-Hesketh, Sophia: A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects (2017)
  8. Lee, Youngjo; Ronnegård, Lars; Noh, Maengseok: Data analysis using hierarchical generalized linear models with R (2017)
  9. Paul-Christian Buerkner: Bayesian Distributional Non-Linear Multilevel Modeling with the R Package brms (2017) arXiv
  10. Santos, Cristiano C.; Loschi, Rosangela H.: Maximum likelihood estimation and parameter interpretation in elliptical mixed logistic regression (2017)
  11. Bailey, R.A.; Brien, C.J.: Randomization-based models for multitiered experiments. I: A chain of randomizations (2016)
  12. Cuny, Henri E.; Kiessé, Tristan Senga: On modeling wood formation using parametric and semiparametric regressions for count data (2016)
  13. De Haan-Rietdijk, Silvia; Gottman, John M.; Bergeman, Cindy S.; Hamaker, Ellen L.: Get over it! A multilevel threshold autoregressive model for state-dependent affect regulation (2016)
  14. Ekstrøm, Claus Thorn: The R primer (2016)
  15. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  16. Furlan, Sarah; Agnoli, Franca; Reyna, Valerie F.: Intuition and analytic processes in probabilistic reasoning: the role of time pressure (2016) MathEduc
  17. Gagnon, Jacob; Liang, Hua; Liu, Anna: Spherical radial approximation for nested mixed effects models (2016)
  18. Garcia, Tanya P.; Ma, Yanyuan: Optimal estimator for logistic model with distribution-free random intercept (2016)
  19. Helwig, Nathaniel E.: Efficient estimation of variance components in nonparametric mixed-effects models with large samples (2016)
  20. Schillinger, Frieder L.; De Smedt, Bert; Grabner, Roland H.: When errors count: an EEG study on numerical error monitoring under performance pressure (2016) MathEduc

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