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.

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 Models (LM) are one of the most commonly used statistical methods to analyze continuous outcomes. However, many studies in Engineering, Medical Study, Education, etc. involve categorical ...

Finally, we extend the methodology to apply generalized linear models and principal components to standard missing data problems. Series B (Statistical Methodology) of the Journal of the Royal ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 43, No. 3 (September/septembre 2015), pp. 358-377 (20 pages) Diagnostics for heteroscedasticity in linear regression ...

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 ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.