References in zbMATH (referenced in 183 articles , 1 standard article )

Showing results 1 to 20 of 183.
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  1. Heck, Daniel W.; Overstall, Antony M.; Gronau, Quentin F.; Wagenmakers, Eric-Jan: Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models (2019)
  2. Tanaka, Emi; Hui, Francis K. C.: Symbolic formulae for linear mixed models (2019)
  3. Doostmoradi, Ali; Zadkarami, Mohammad Reza; Akhoond, Mohammad Reza: A new Entezar distribution for lifetime modeling (2018)
  4. Alfò, Marco; Salvati, Nicola; Ranallli, M. Giovanna: Finite mixtures of quantile and M-quantile regression models (2017)
  5. Rafael Moral; John Hinde; Clarice Demétrio: Half-Normal Plots and Overdispersed Models in R: The hnp Package (2017) not zbMATH
  6. Christensen, Ronald: Analysis of variance, design and regression. Linear modeling for unbalanced data (2016)
  7. Currie, Iain D.: On Fitting generalized linear and non-linear models of mortality (2016)
  8. Giraud, Christophe; Calenge, Clément; Coron, Camille; Julliard, Romain: Capitalizing on opportunistic data for monitoring relative abundances of species (2016)
  9. Li, Huiqiong; Wu, Liucang: Joint modeling of location and scale parameters of the skew-normal distribution (2014)
  10. Marschner, Ian C.: Combinatorial EM algorithms (2014)
  11. Dingus, Cheryl; Ankenman, Bruce; Dean, Angela; Sun, Fangfang: Identification of dispersion effects in replicated two-level fractional factorial experiments (2013)
  12. Dormann, Carsten F.: Parametric statistics. Distributions, maximum likelihood and GLM in R (2013)
  13. Rigby, Ra; Stasinopoulos, Dm; Voudouris, V.: Discussion: a comparison of GAMLSS with quantile regression (2013)
  14. Sonja Kuhnt; Nikolaus Rudak: Simultaneous Optimization of Multiple Responses with the R Package JOP (2013) not zbMATH
  15. Wu, Liu-Cang; Zhang, Zhong-Zhan; Xu, Deng-Ke: Variable selection in joint location and scale models of the skew-normal distribution (2013)
  16. Xu, Dengke; Zhang, Zhongzhan: A semiparametric Bayesian approach to joint mean and variance models (2013)
  17. Cheng, Tsung-Chi: On simultaneously identifying outliers and heteroscedasticity without specific form (2012)
  18. Lee, Youngjo; Noh, Maengseok: Modelling random effect variance with double hierarchical generalized linear models (2012)
  19. Wu, Liucang; Li, Huiqiong: Variable selection for joint mean and dispersion models of the inverse Gaussian distribution (2012)
  20. Wu, Liu-Cang; Zhang, Zhong-Zhan; Xu, Deng-Ke: Variable selection in joint mean and variance models of Box-Cox transformation (2012)

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