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Use of Bootstrapping for Estimation of standard Deviation and Confidence Intervals of Genetic Variance‐ and Covariance‐Components
Author(s) -
Eit A. H. Aastv
Publication year - 1990
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.4710320502
Subject(s) - bootstrapping (finance) , statistics , confidence interval , mathematics , standard error , covariance , standard deviation , robust confidence intervals , block design , variance (accounting) , variance components , analysis of covariance , interval estimation , econometrics , combinatorics , business , accounting
The paper deals with the problem of sampling error of genotypic correlation estimated from a randomised block design. The Bootstrap method is used and two different procedures are studied. Both standard deviations and confidence intervals for the genotypic correlations are calculated in a real experiment. The results show that the estimates might be very unstable. Theoretical considerations indicate that large experiments are needed in order to obtain reliable estimates.