Powerful techniques using total variation distance have been developed to give bounds on how close a particular distribution is to the Poisson distribution. These techniques can be exploited in population genetics to give asymptotically efficient estimates of population parameters for models involving selection. This research also studies a mathematical model for the evolution of recombinant DNA. A third problem is to consider the statistical limitation of new technology which may someday be used for DNA sequencing. Interpreting the vast amount of DNA data now available requires mathematical models that take into account statistical variability. Using new probability techniques, this research will develop insight into three scientifically relevant problems in genetics.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
9207410
Program Officer
Stephen M. Samuels
Project Start
Project End
Budget Start
1992-08-01
Budget End
1996-01-31
Support Year
Fiscal Year
1992
Total Cost
$45,000
Indirect Cost
Name
University of Idaho
Department
Type
DUNS #
City
Moscow
State
ID
Country
United States
Zip Code
83844