MAXIMUM LIKELIHOOD ESTIMATION BY COUNTING METHODS UNDER POLYGENIC AND MIXED MODELS IN HUMAN PEDIGREES
- 1 January 1979
- journal article
- research article
- Vol. 31 (2) , 161-175
Abstract
For pedigree data, the maximum likelihood estimates of the parameters in polygenic and mixed models are derived analytically although not in closed form but in terms of counting equations allowing an iterative solution. Likelihood computations, tests of significance and tests of goodness of fit are presented. Accelerating the (linear) rate of convergence by a very simple method is demonstrated.This publication has 15 references indexed in Scilit:
- GENETIC STUDY OF IMMUNOGLOBULIN-E1978
- Linkage analysis with misclassification at one locusClinical Genetics, 1977
- Extensions to pedigree analysis III. Variance components by the scoring methodAnnals of Human Genetics, 1976
- RESOLUTION OF CULTURAL AND BIOLOGICAL INHERITANCE BY PATH-ANALYSIS1976
- Analysis of family resemblance. 3. Complex segregation of quantitative traits.1974
- Analysis of family resemblance. II. A linear model for familial correlation.1974
- A General Model for the Genetic Analysis of Pedigree DataHuman Heredity, 1971
- Effects of additive genes at many loci compared with those of a set of alleles at one locus in parent‐child and sib correlationsAnnals of Human Genetics, 1969
- Maximum-likelihood estimation for the mixed analysis of variance model.1967
- THE ESTIMATION OF GENE FREQUENCIES IN A RANDOM‐MATING POPULATIONAnnals of Human Genetics, 1955