Statistical Modelling
Michael J. Crawley · 2007
This chapter contains sections titled: Maximum Likelihood The Principle of Parsimony (Occam's Razor) Types of Statistical Model Steps Involved in Model Simplification Model Formulae in R Box–Cox Transformations Model Criticism Model checking Summary of Statistical Models in R Optional arguments in model-fitting functions Dataframes containing the same variable names Akaike's Information Criterion Leverage Misspecified Model Model checking in R Contrasts