Measuring the precision of genetic parameters by a simulation technique
- 1 January 1977
- journal article
- research article
- Published by Springer Nature in Theoretical and Applied Genetics
- Vol. 51 (1), 35-39
- https://doi.org/10.1007/bf00306060
Abstract
Approximate standard errors of genetic parameter estimates were obtained using a simulation technique and approximation formulae for a simple statistical model. The similarity of the corresponding estimates of standard errors from the two methods indicated that the simulation technique may be useful for estimating the precision of genetic parameter estimates for complex models or unbalanced population structures where approxi mation formulae do not apply. The method of generating simulation populations in the computer is outlined, and a technique of setting approximate confidence limits to heritability estimates is described.This publication has 6 references indexed in Scilit:
- Simplification of the sampling variance of the correlation coefficientsTheoretical and Applied Genetics, 1974
- Empirical Sampling Estimates of Genetic CorrelationsBiometrics, 1961
- The Sampling Variance of the Genetic Correlation CoefficientBiometrics, 1959
- SAMPLING ERRORS OF GENETIC CORRELATION COEFFICIENTS CALCULATED FROM ANALYSES OF VARIANCE AND COVARIANCEAustralian Journal of Statistics, 1959
- The Variance of the Genetic Correlation CoefficientPublished by JSTOR ,1955
- Estimation of Variance and Covariance ComponentsBiometrics, 1953