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 ...

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

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 ...

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 ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

About A lesson about statistical inference within the linear model framework ...