Mathematical Statistics and Probability Theory

On Central Limit Theorems and Uniform Integrability for Certain Stopped Linear Sum Processes.- A Characterization of Identifiability of Mixtures of Distributions.- On Nonuniform Estimates of the Rate of Convergence in the Central Limit Theorem for Functions of the Average of Independent Random Variables.- The Support of Extremal Probability Measures with Given Marginals.- Convergence for the Sample Extremes Via Convolutions.- Many Heads in a Short Block.- Weak Laws for the Increments of Wiener Processes, Brownian Bridges, Empirical Processes and Partial Sums of I.I.D.R.V.'s.- A Strong Law of Large Numbers in Banach Spaces of Type ?.- On the Last Zero of a Wiener Process.- Almost Sure Asymptotic Behavior of the Record and Record Time Sequences of a Stationary Gaussian Process.- Weak Convergence of Weighted Multivariate Empirical Processes under Mixing Conditions.- Generalized Translation Structures and Invariant Feller Semigroups.- Mixing Properties for f-Expansions: The Bounded p-Variation Case.- Uniform Integrability in Anscombe's Theorem for Martingales.- On a Functional Equation Occurring in the Limit Theorem for Maxima with Random Indices.- Comparison of Shift Experiments on a Banach Space.- On the ?-Fields which are Larger than a Sufficient One.- On the Properties of Marginal Densities and Conditional Moments of Elliptically Contoured Measures.- Consistency of Kernel Density Estimators and Laws of Large Numbers in C0(R).- Testing Hypotheses on Independent, not Identically Distributed Models.- A Limit Theorem for Double Arrays.- The Description of the Class I0 in the Multiplicative Structure of Distribution Functions.- Conditional Semiamarts and Conditional Amarts.- of Volume B.