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Estimation Problems in Fitting Genetic Models to Familial Data
Author(s) -
McGilchrist C. A.
Publication year - 1989
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.4710310312
Subject(s) - likelihood function , maximum likelihood , estimation , statistics , mathematics , function (biology) , estimation theory , genetic data , computer science , econometrics , evolutionary biology , biology , medicine , population , engineering , systems engineering , environmental health
Abstract Estimation of parameters in a genetic model can be very difficult using likelihood theory when there is no concise functional form for the likelihood function. An alternative method based on fitting the characteristic function is suggested and this method may be used on data with consistent familial composition.