Premium
Maximum Likelihood Estimation of Genetic Parameters in Cell Populations
Author(s) -
Tan W. Y.,
Tou Conrad
Publication year - 1987
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710290218
Subject(s) - maximum likelihood , mutation rate , monte carlo method , mutation , estimation , estimation theory , population , statistics , homogeneous , computer science , mathematics , mathematical optimization , biology , genetics , engineering , gene , demography , systems engineering , combinatorics , sociology
Abstract In this paper we consider a cell population such as bacteria consisting of two types of cells, mutant and nonmutant. Under the mutation and homogeneous pure birth processes, this paper derives a maximum likelihood estimation procedure for estimating mutation rate and birth rate. The method is applied to Newcombe's data; further some Monte Carlo studies are generated. The numerical results indicate that the method is quite efficient for estimating genetic parameters in cell populations.