Analyses of two different regression models by bootstrapping
Abstract
The purpose of this study is to demonstrate the use of the bootstrap method to perform statistical inference for nonlinear models with a varying number of observations per subject. The same set of data was fit using a nonlinear parametric equation and a spline. The SAS and R statistical packages are used to implement the analyses.
Degree
M.S.
Advisors
McCabe, Purdue University.
Subject Area
Statistics
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