✦ LIBER ✦

A BLUE decomposition in the general linear regression model

✍ Scribed by Hans Joachim Werner; Cemil Yapar

Publisher: Elsevier Science
Year: 1996
Tongue: English
Weight: 423 KB
Volume: 237-238
Category: Article
ISSN: 0024-3795
DOI: 10.1016/0024-3795(95)00542-0

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A note on least squares estimation and t

A note on least squares estimation and the blue in a generalized linear regression model

✍ Peter Schönfeld 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 474 KB

Bayes invariant quadratic estimation in

Bayes invariant quadratic estimation in general linear regression models

✍ Stanisław Gnot; Jolanta Srzednicka; Roman Zmyślony 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 732 KB

Optimality of blue's in a general linear

Optimality of blue's in a general linear model with incorrect design matrix

✍ Thomas Mathew; P. Bhimasankaram 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 796 KB

A generalized class of estimators in lin

A generalized class of estimators in linear regression models with multivariate-t distributed error

✍ R Karan Singh; Sheela Misra; S.K Pandey 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 305 KB

Comparing Stochastically Restricted Line

Comparing Stochastically Restricted Linear Estimators in a Regression Model

✍ Dr. Erkki P. Liski 📂 Article 📅 1989 🏛 John Wiley and Sons 🌐 English ⚖ 202 KB 👁 3 views

Conditions for superiority of the minimum dispersion estimator over another with respect to the covariance matrix are derived when the vector parameter of a regression model is subject to competing stochastic restrictions. The restrictions may also consist both of a deterministic part and a stochast

Comparing Stochastically Restricted Esti

Comparing Stochastically Restricted Estimators in a Linear Regression Model

✍ Dr. J. K. Baksalary 📂 Article 📅 1984 🏛 John Wiley and Sons 🌐 English ⚖ 150 KB 👁 3 views