Preface -- Estimation in the extended linear model -- Discrete optimization of statistical sample sizes in simulation by using the hierarchical resampling method -- Kernel-type estimation of bivariate distribution function for associated random variables -- On local dependence function for multivariate distributions -- The tuning constant problem in regression type models -- The usefulness of uniformity in experimental design -- Approximation of distributions by sphere -- Econometric modeling of the Lithuanian economy -- Non-null distribution of Läuter's F-statistic: A simulation study -- Zero-boundary Voronoi partitions -- On expected values of fourth-degree matrix products of a multinormal matrix variate -- A multivariate Buckley-James estimator -- A new algorithm of the linear discriminant function using integer programming -- Robustification of "approximating approach" in simultaneous equations models -- Data compression and statistical inference -- Estimation the poverty line as a problem of multivariate statistics -- Dependence structure of a multivariate distribution characterised by the correlation matrix -- Approximation of multivariate probability functions by empirical marginal distributions and dependence measures -- Sampling design as a multivariate distribution -- Class of sampling designs with given marginals -- A remark on the extended growth curve model.