standard and international trade. The estimation results allow us to formulate some interesting policy conclusions. …

sampling algorithm for the estimation of mixtures was proposed before (Tanner and Wong 1987) and immediately after (Diebolt and … unknown, it can well be argued that the Bayesian paradigm is the only sensible approach to its estimation (Richardson and … Green 1997). This chapter aims to introduce the reader to the construction, prior modelling, estimation and evaluation of …

practical experiments. With these extensions, our methodology constructs designs which perform similarly, in terms of estimation …

The estimation of the slope parameter of two linear regression models with normal errors are considered, when it is …

pursued. However, there are estimation methods that incorporate such prior information with the observed data. The expectation … is that the incorporation of such additional information in the estimation process would result in a better estimator …

The estimation of the mean of an univariate normal population with unknown variance is considered when uncertain non …-sample information in the estimation process. Some of the important statistical properties of the restricted, preliminary test, and …

Improved James-Stein type estimation of the mean vector$\mbox{\boldmath $\mu$}$ of a multivariate Student-t population … of the mean vector, in the form ofa null hypothesis, is used for the estimation. The usual maximum likelihoodestimator …

method of model fitting than the conventional approach of maximum likelihood estimation, as it does not require iterative … of the discussion is the application of the new parameter estimation technique to multi-way contingency tables with at …