Course Topics"Generalized Linear Models," Tuesday, April 6: The third LISA mini course for the 2010 Spring semester focuses on appropriate model building using generalized linear models. While ...

Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels.

Jin-Ting Zhang, STATISTICAL INFERENCES FOR LINEAR MODELS WITH FUNCTIONAL RESPONSES, Statistica Sinica, Vol. 21, No. 3 (July 2011), pp. 1431-1451 ...

Parametric versus Semi/nonparametric Regression Models Course Topics Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the ...

Topics include: general theory of regression and generalised linear models, linear regression, logistic regression for binary data, models for ordered and unordered (nominal) responses, log-linear ...

Explain the terms: simple regression, simple linear model, multivariable regression, and adjusted measure of effect. Identify a regression coefficient as an estimate of a measure of effect that is of ...

We demonstrate the feasibility of constructing, interpreting and fitting computable log-linear models to categorical survey data with arbitrary non-nested patterns of non-ignorable non-response. Under ...

14 Introduction to regression models Concepts The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding ...