A Cohesive Approach to Regression ModelsConfidence Intervals in Generalized Regression Modelsintroduces a unified representationâthe generalized regression model (GRM)âof various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model.Provides a Large Collection of ModelsThe book encompasses a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood ratio tests.Uses Statistical Inference Package to Make Inferences on Real-Valued ParameterFunctionsOffering software that helps with statistical analyses,
