Term of Award
Spring 2010
Degree Name
Master of Science in Mathematics (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Mathematical Sciences
Committee Chair
Patricia Humphrey
Committee Member 1
Martha Abell
Committee Member 2
Greg Knofczynski
Abstract
Of interest is the specific model called the joinpoint two regime regression or broken line model composed of one regression line and a horizontal ray. This is a very restricted but highly useful subset of the well-researched change point problem. The usual approach to a more general model was first presented by Quandt (1958) who found the maximum likelihood estimates of the slope, intercept and joinpoint by assuming that the error terms are generated under the usual assumptions, that is, from a normal distribution with constant variance and are uncorrelated. We develop a method that does not rely on this assumption, demonstrate its use on an example of proximity indexes of whale cow and calf pairs, and compare the new method to the Quandt estimates in a simulation study showing this new method performs adequately.
Recommended Citation
Rogers, Alfreda N., "A Nonparametric Method for Ascertaining Change Points in Regression Regimes" (2010). Electronic Theses and Dissertations. 664.
https://digitalcommons.georgiasouthern.edu/etd/664
Research Data and Supplementary Material
No
