Probability and Statistical Inference

Discrete Approximation of Markovprocesses by Markovchains.- An Autoregressive Representation of ARMA Processes.- Characterization of a Type Multivariate Exponential Distributions.- Multivariate Time Series Analysis and Forecast.- Testing Approximate Validity of Hardy-Weinberg Law in Population Genetics.- On an Optimization Problem Related to Statistical Investigations.- A Construction of Extremal Processes.- Monte Carlo Investigation of Robust Methods.- Monte Carlo Methods for Solving Hyperbolic Equations.- The Compounding of the Binomial and Generalized Beta Distributions.- Empirical Bayes Estimation of Probability Density Function with Dirichlet Process Prior.- On the Asymptotic Properties of Minimum Contrast Estimates.- Contiguity in Some Nonregular Cases and its Applications.- The Notion of Asymptotically Least Favorable Configuration in Selection and Ranking Problems.- One Method of Stable Estimation of a Location Parameter.- Stochastic Integral Representation of Functionals from a Sequence of Martingales.- Comparison of Multisample Tests of Normality.- Almost Everywhere Convergence of Recursive Kernel Regression Function Estimates.- Estimation of a Multivariate Density by Orthogonal Series.- Longest Runs in Markov Chains.- Approximation and Smoothing of Surfaces in (P+1)-Dimensional Spaces.- The Comparison of Two-Unit Standby Redundant System with Two and Three States of Units.- A Probability Inequality of General Nature for the Maximum of Partial Sums.- Parametric Deviations in Linear Models.- Statistical Tests for Tausworthe Pseudo-Random Numbers.- Polynomials of Parameters in the Regression Model — Estimation and Design.- The Limiting Log-Likelihood Process for Discontinuous Multiparameter Density Families.- Two Kinds of Pooling Information in Cross-SectionalRegression Model.- Rate of Convergence for Simple Estimate in the Rejective Sampling.- Minimal Metrics in the Random Variables Space.- Robust Alternatives to the F-Fest for the Linear Model.- Orthogonal Series Estimates of a Regression Function with Applications in System Identification.- Generating Student’s T Variates by a Modified Rejection Method.- Block Transmissibility and Quantization.- Invariantly Optimal Curve Estimators with Respect to Integrated Mean Error Risk.