JSTOR Daily

Fitting Bayesian Two-Stage Generalized Linear Models Using Random Samples via the SIR Algorithm

Although it is common practice to fit a complex Bayesian model using Markov chain Monte Carlo (MCMC) methods, we provide an alternative sampling-based method to fit a two-stage hierarchical model in ...
Simon Fraser University

Displaying the Poisson Regression Analysis

a linear function of explanatory variables. For this example, the function is a link function that relates the mean to the linear function of explanatory variables. For this example, the link function ...
JSTOR Daily

Generalized and Feasible Generalized Median Estimators for the Linear Regression with AR(1) Error Model

The generalized least squares estimator (GLSE) and the feasible generalized least squares estimator (FGLSE) are, separately, extended to the generalized and the ...
lse

Regression and Generalised Linear Models

This course is compulsory on the BSc in Actuarial Science and BSc in Statistics with Finance. This course is available on the BSc in Business Mathematics and Statistics and BSc in Mathematics with ...
Simon Fraser University

Examples of Generalized Linear Models

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...
lse

Regression and Generalised Linear Models

This course is compulsory on the BSc in Statistics with Finance. This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Financial Mathematics and ...