Survey of Statistical Design and Linear Models

By Jagdish N Srivastava

Subjects: Congresses, Experimental design, Linear Models, Mathematical Statistics, Regression Models, Linear models (Statistics), Statistical Models, Experimental Design, Statistical Inference

Description: Designs and estimators for variance components. Combined intra- and inter block estimation of tretment effects incomplete block designs. Updating methods for linear models for the addition or deletion of observations. Approaches in sequential design of experiments. Two recent areas of sample survey research. Fitting and looking at linear and log linear fits. Tests of model specification based on residuals; Minimal unbiased designs for linear parametric functions; Optimal experimental designs for discriminating two rival regression models; Multivariate statistical inference under marginal structure; The availability of tables useful in analyzing linear models.