✦ LIBER ✦

Estimation of variance components with unbalanced data in a maternal effects model : I. Derivation of maximum likelihood estimators

✍ Scribed by G. S. WEWALA; R. D. ANDERSON; A. L. RAE

Book ID: 115142707
Publisher: John Wiley and Sons
Year: 1988
Tongue: English
Weight: 462 KB
Volume: 105
Category: Article
ISSN: 0931-2668
DOI: 10.1111/j.1439-0388.1988.tb00318.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation of variance components with u

Estimation of variance components with unbalanced data in a maternal effects model : II. Maximum likelihood estimators of variance components for direct and maternal effects of 8-week weights of Large White Pigs

✍ Dr. G. S. WEWALA; Prof. R. D. ANDERSON; Prof. A. L. RAE 📂 Article 📅 1988 🏛 John Wiley and Sons 🌐 English ⚖ 374 KB

Restricted Maximum Likelihood (REML) Est

Restricted Maximum Likelihood (REML) Estimation of Variance Components in the Mixed Model

✍ R. R. Corbeil and S. R. Searle 📂 Article 📅 1976 🏛 American Statistical Association 🌐 English ⚖ 901 KB

Maximum likelihood estimation of compone

Maximum likelihood estimation of components of variance and correlations in the analysis of family data

✍ A. BENER; S. HUDA 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 English ⚖ 311 KB

Restricted Maximum Likelihood estimates

Restricted Maximum Likelihood estimates of variance components from multitrait sire models with large number of fixed effects

✍ E. Mäntysaari; L. D. Van Vleck 📂 Article 📅 1989 🏛 John Wiley and Sons 🌐 English ⚖ 712 KB

Estimation of Variance Components Based

Estimation of Variance Components Based on a Diallel Model Involving Maternal and Maternal Interaction Effects

✍ K. Venkateswarlu 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 378 KB 👁 1 views

Maximum likelihood estimation of the cor

Maximum likelihood estimation of the correlation coefficient in a bivariate normal model with missing data

✍ Steven T. Garren 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 396 KB

The maximum likelihood estimator (MLE) of the correlation coefficient and its asymptotic properties are well-known for bivariate normal data when no observations are missing. The situation in which one of the two variates is not observed in some of the data is examined herein. The MLE of the correla