glm
Stata command glm - Generalized linear models. glm fits generalized linear models. It can fit models by using either IRLS (maximum quasilikelihood) or Newton–Raphson (maximum likelihood) optimization, which is the default.
Keywords for this software
References in zbMATH (referenced in 29 articles , 1 standard article )
Showing results 1 to 20 of 29.
Sorted by year (- Asar, Yasin; Korkmaz, Merve: Almost unbiased Liu-type estimators in gamma regression model (2022)
- Chen, Yang; Luo, Ziyan; Kong, Lingchen: (\ell_2,0)-norm based selection and estimation for multivariate generalized linear models (2021)
- Idais, Osama; Schwabe, Rainer: Analytic solutions for locally optimal designs for gamma models having linear predictors without intercept (2021)
- Kruppa, Jochen; Hothorn, Ludwig: A comparison study on modeling of clustered and overdispersed count data for multiple comparisons (2021)
- Amin, Muhammad; Qasim, Muhammad; Amanullah, Muhammad; Afzal, Saima: Performance of some ridge estimators for the gamma regression model (2020)
- Asar, Yasin; Kılınç, Kadriye: A jackknifed ridge estimator in probit regression model (2020)
- Scudilio, Juliana; Pereira, Gustavo H. A.: Adjusted quantile residual for generalized linear models (2020)
- Amin, Muhammad; Amanullah, Muhammad; Aslam, Muhammad; Qasim, Muhammad: Influence diagnostics in gamma ridge regression model (2019)
- Kurtoğlu, Fikriye; Özkale, M. Revan: Restricted Liu estimator in generalized linear models: Monte Carlo simulation studies on gamma and Poisson distributed responses (2019)
- Aduenko, Alexander A.; Motrenko, Anastasia P.; Strijov, Vadim V.: Object selection in credit scoring using covariance matrix of parameters estimations (2018)
- Yang, Xiu; Li, Weixuan; Tartakovsky, Alexandre: Sliced-inverse-regression-aided rotated compressive sensing method for uncertainty quantification (2018)
- Amin, Muhammad; Amanullah, Muhammad; Cordeiro, Gauss M.: Influence diagnostics in the gamma regression model with adjusted deviance residuals (2017)
- Gupta, Vinay K.; Grover, Gurprit: Multiple imputation for gamma outcome variable using generalized linear model (2017)
- Hassanzadeh, Fatemeh; Kazemi, Iraj: Regression modeling of one-inflated positive count data (2017)
- Verlaak, Robert; Beirlant, Jan: A non-linear mixed model approach for excess of loss benchmark rating (2017)
- Ainsworth, L. M.; Dean, C. B.; Joy, R.: Zero-inflated spatial models: application and interpretation (2016)
- Hattab, Mohammad Wasef: A derivation of prediction intervals for gamma regression (2016)
- Huang, Lu; Tang, Li; Zhang, Bo; Zhang, Zhiwei; Zhang, Hui: Comparison of different computational implementations on fitting generalized linear mixed-effects models for repeated count measures (2016)
- Kurtoğlu, Fikriye; Revan Özkale, M.: Liu estimation in generalized linear models: application on gamma distributed response variable (2016)
- Williams, Richard: Understanding and interpreting generalized ordered logit models (2016)