Abstract
The similarities between generations of living subjects are often quantified by heritability. By distinguishing genotypic variation, or variation due to parental pairings, from phenotypic variation, or normal intraspecies variation, the heritability of traits can be estimated. Due to the multivariate nature of many traits, such as size and shape, computation of heritability can be difficult. Also, assessment of the variation of the heritability estimate is extremely difficult. This study uses nonparametric methods, namely the randomization test and the bootstrap, to obtain both a measure of the extremity of the observed heritability and an assessment of the uncertainty.
Degree
MS
College and Department
Physical and Mathematical Sciences; Statistics
Rights
http://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Carper, Benjamin Alan, "Assessing Multivariate Heritability through Nonparametric Methods" (2008). Theses and Dissertations. 1460.
https://scholarsarchive.byu.edu/etd/1460
Date Submitted
2008-07-17
Document Type
Selected Project
Handle
http://hdl.lib.byu.edu/1877/etd2565
Keywords
Heritability, Bootstrap, Randomization Test
Language
English