Rao, C.R. and Touterburg, H. (1995) Linear Models, Least Squares and Alternatives. Springer Verlag, Berlin.
http://dx.doi.org/10.1007/978-1-4899-0024-1

has been cited by the following article:

• TITLE: More on the Preliminary Test Stochastic Restricted Liu Estimator in Linear Regression Model

  AUTHORS: Sivarajah Arumairajan, Pushpakanthie Wijekoon

  KEYWORDS: Multicollinearity, Stochastic Restrictions, Ordinary Least Square Estimator, Mixed Estimator, Preliminary Test Estimator, Mean Square Error Matrix

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.4, June 29, 2015

  ABSTRACT: In this paper we compare recently developed preliminary test estimator called Preliminary Test Stochastic Restricted Liu Estimator (PTSRLE) with Ordinary Least Square Estimator (OLSE) and Mixed Estimator (ME) in the Mean Square Error Matrix (MSEM) sense for the two cases in which the stochastic restrictions are correct and not correct. Finally a numerical example and a Monte Carlo simulation study are done to illustrate the theoretical findings.