dobson
R package dobson: Data from the GLM Book by Dobson and Barnett. Example datasets from the book ”An Introduction to Generalised Linear Models” (Year: 2018, ISBN:9781138741515) by Dobson and Barnett.
Keywords for this software
References in zbMATH (referenced in 43 articles , 1 standard article )
Showing results 1 to 20 of 43.
Sorted by year (- Kereta, Željko; Klock, Timo: Estimating covariance and precision matrices along subspaces (2021)
- Vono, Maxime; Dobigeon, Nicolas; Chainais, Pierre: Asymptotically exact data augmentation: models, properties, and algorithms (2021)
- Alkhairy, Ibrahim; Low-Choy, Samantha; Murray, Justine; Wang, Junhu; Pettitt, Anthony: Quantifying conditional probability tables in Bayesian networks: Bayesian regression for scenario-based encoding of elicited expert assessments on feral pig habitat (2020)
- Baladram, Mohammad Samy; Obata, Nobuaki: The elements of multi-variate analysis for data science (2020)
- Bu, Xianwei; Majumdar, Dibyen; Yang, Jie: D-optimal designs for multinomial logistic models (2020)
- Idais, Osama: A note on locally optimal designs for generalized linear models with restricted support (2020)
- Stoner, Oliver; Economou, Theo: An advanced hidden Markov model for hourly rainfall time series (2020)
- Yin, Zanhua: Variable selection for sparse logistic regression (2020)
- Balabdaoui, Fadoua; Durot, Cécile; Jankowski, Hanna: Least squares estimation in the monotone single index model (2019)
- Guastavino, Sabrina; Benvenuto, Federico: A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery (2019)
- Özkale, M. Revan: The (r)-(d) class estimator in generalized linear models: applications on gamma, Poisson and binomial distributed responses (2019)
- Afsana-Al-Sharmin; Islam, M. Ataharul: Generalized Weibull linear models for type-I censoring data (2018)
- Dobson, Annette J.; Barnett, Adrian G.: An introduction to generalized linear models (2018)
- Dzupire, Nelson Christopher; Ngare, Philip; Odongo, Leo: A Poisson-gamma model for zero inflated rainfall data (2018)
- Kurosawa, Takeshi; Suzuki, Nobuhiro: Asymptotic distribution of regression correlation coefficient for Poisson regression model (2018)
- Li, Dengkui; Mei, Changlin: SiZer inference for generalized varying coefficient models (2018)
- Vinci, Giuseppe; Ventura, Valérie; Smith, Matthew A.; Kass, Robert E.: Adjusted regularization of cortical covariance (2018)
- Zhang, Chun-Xia; Zhang, Jiang-She; Wang, Guan-Wei; Ji, Nan-Nan: A novel bagging approach for variable ranking and selection via a mixed importance measure (2018)
- Bertsimas, Dimitris; King, Angela: Logistic regression: from art to science (2017)
- Moffatt, Joanne L.; Scarf, Phil: Sequential regression measurement error models with application (2016)