Statistical Models in R

Statistical ModelsStatistical Models in RSome ExamplesSteven BuechlerDepartment of Mathematics276B Hurley Hall; 1-6233 Fall, 2007 Statistical ModelsOutlineStatistical ModelsStructure of Models in RModel Assessment (Part IA)Anova in RStatistical ModelsStatistical ModelsFirst PrinciplesIn a couple of lectures the basic notion of a Statistical model isdescribed. Examples of anova and linear regression are given,including variable selection to find a simple but explanatory is placed onR s framework for Statistical ModelsGeneral Problemaddressed by modellingGiven: a collection of variables, each variable being a vector ofreadings of a specific trait on the samples in an : In what way does a variableYdepend on other variablesX1.

Model Comparison Statistics Normally, the models are nested in that the variables in M 0 are a subset of those in M 1. The statistic often involves the RSS values for both models, adjusted by the number of parameters used. In linear regression this becomes an anova test (comparing variances). More robust is a likelihood ratio test for nested ...

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