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Titolo:
GENETIC-VARIATION OF TRAITS MEASURED IN SEVERAL ENVIRONMENTS .2. INFERENCE ON BETWEEN-ENVIRONMENT HOMOGENEITY OF INTRA-CLASS CORRELATIONS
Autore:
ROBERT C; FOULLEY JL; DUCROCQ V;
Indirizzi:
INRA,CTR RECH JOUY EN JOSAS,GENET QUANTITAT & APPL STN F-78352 JOUY EN JOSAS FRANCE
Titolo Testata:
Genetics selection evolution
fascicolo: 2, volume: 27, anno: 1995,
pagine: 125 - 134
SICI:
0999-193X(1995)27:2<125:GOTMIS>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Keywords:
HETEROSKEDASTICITY; PARAMETERIZATION; INTRA-CLASS CORRELATION; EXPECTATION-MAXIMIZATION; RESTRICTED MAXIMUM LIKELIHOOD;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
9
Recensione:
Indirizzi per estratti:
Citazione:
C. Robert et al., "GENETIC-VARIATION OF TRAITS MEASURED IN SEVERAL ENVIRONMENTS .2. INFERENCE ON BETWEEN-ENVIRONMENT HOMOGENEITY OF INTRA-CLASS CORRELATIONS", Genetics selection evolution, 27(2), 1995, pp. 125-134

Abstract

This paper describes a further contribution to the problem of testinghomogeneity of intra-class correlations among environments in the case of univariate linear models, without making any assumption about thegenetic correlation between environments. An iterative generalized expectation-maximization (EM) algorithm, as described in Foulley and Quaas (1994), is presented for computing restricted maximum likelihood (REML) estimates of the residual and between-family components of variance and covariance. Three different parameterizations (cartesian, polarand spherical coordinates) are proposed to compute EM-REML estimatorsunder the reduced (constant intra-class correlation between environments) model. This procedure is illustrated with the analysis of simulated data.

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Documento generato il 04/12/20 alle ore 13:09:26