A survey of statistical design and linear models
Designs and estimators for variance components; Combined intra-and inter-block estimation of treatment effects in 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; Data monitoring criteria for linear models; Computing optimum designs for covariance models;Repeated measurement designs I; Design of genetical experiments; Recent developments in randomized response designs; Robustness and designs.
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Designs and estimators for variance components
Combined intra and interblock estimation of treatment effects
Updating methods for linear models for the addition or deletion of observa
39 other sections not shown
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