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Browsing by Author "Geyer, Charles J"

Now showing 1 - 3 of 3
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    Aster Models for Life History Analysis
    (School of Statistics, University of Minnesota, 2005-09-05) Geyer, Charles J; Wagenius, Stuart; Shaw, Ruth G
    We present a new class of statistical models designed for life history analysis of plants and animals. They allow joint analysis of data on survival and reproduction over multiple years, allow for variables having different statistical distributions, and correctly account for the dependence of variables on earlier variables (for example, that a dead individual stays dead and cannot reproduce). We illustrate their utility with an analysis of data taken from an experimental study of Echinacea angustifolia sampled from remnant prairie populations in western Minnesota. Statistically, they are graphical models with some resemblance to generalized linear models and survival analysis. They have directed acyclic graphs with nodes having no more than one parent. The conditional distribution of each node given the parent is a one-parameter exponential family with the parent variable the sample size. The model may be heterogeneous, each node having a different exponential family. We show that the joint distribution is a flat exponential family and derive its canonical parameters, Fisher information, and other properties. These models are implemented in an R package "aster" available from CRAN.
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    Supporting Data Analysis for "An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time"
    (2015-05-14) Eck, Daniel J; Shaw, Ruth G; Geyer, Charles J; Kingsolver, Joel G; eckxx049@umn.edu; Eck, Daniel J
    This technical report (TR) gives details of the data analysis backing up a paper having the same authors as this TR and having the title that is quoted in the title of this TR. It uses the R package knitr to process its source file (Rnw file) containing LaTex and R, so that all R that appears in this document is not cut-and-pasted but actually run and actually produces the results that it appears to produce. This document reproduces all tables and figures from the paper and hence the entire data analysis reported in the paper.
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    Supporting Data Analysis for "Combining Envelope Methodology and Aster Models for Variance Reduction in Life History Analyses"
    (2016-03-23) Eck, Daniel J; Geyer, Charles J; Cook, R. Dennis; eckxx049@umn.edu; Eck, Daniel J
    This dataset contains the technical report that provides supporting data analysis for the paper "An Application of Envelope Methodology and Aster Models". R package "knitr" processes the source file (Rnw) and incorporates the information in the R workspace (RData) files to compile the technical report (pdf). This process reproduces all the tables and figures from the paper and hence the entire data analysis reported in the paper. The tabulated data (csv) came from Lowry, D.B. and Willis, J.H. (2010) and is used to demonstrate the envelope methodology.