Recent Advances in Statistics and Probability

Frontmatter -- Contributors -- Preface -- Acknowledgments -- Table of Contents -- Conference "Nicolás de Arriquibar" -- Diagnostic Procedures for Analysis of Variance -- Design of Experiments and Multivariate Analysis -- Clustering of Treatment Means Using the Mixture Method -- Validation of Multivariate Monte Carlo Studies -- Comparison of Variants of Barrodale and Roberts' L1 Algorithm -- The Kagan Classification of Multivariate Distributions and the Central Limit Theorem -- Nonparametric Estimation -- Relationships Between Product Moments of Order Statistics from Non-Identically Distributed Variables -- Recent Developments in Elemental Regression Methods -- Consistency of a Linear Regression Estimate with Panel Data, Obtained by Preliminary Nonparametric Estimation -- Nonrecursive Procedures for Detecting Change in Simple Regression Models -- Conditional Rank Tests for the Two-sample Problem under Random Censorship: Treatment of Ties -- Nonparametric Estimation of Regression Functions based on Dependent Data -- Process Tracking of Time Series with Change Points -- Statistical Decision Theory -- Robust Bayesian Bounds for Outlier Detection -- Network Designs for Monitoring Multivariate Random Spatial Fields -- Joint Sensitivity Analysis for Covariance Matrices in Bayesian Linear Regression -- Ambiguity, Imprecision and Sensitivity in Decision Theory -- Local and Global Sensitivity Under Some Classes of Priors -- Stochastic Processes -- Strong Limit Theorems for Empirical Processes -- Bahadur-Kiefer Representations on the Tails -- Strong Theorems for Random Walks and Its Local Time -- L2-Rate of Clustering for Some Gaussian Processes -- On the Effects of Noise in Systems Involving Products of Random Matrices -- Asymptotic Normality of the Spectral Density Estimators for Periodically Correlated Stochastic Processes -- Covering Large Domains by a Wiener Process -- On the Existence and Uniqueness for a Stochastic Differential Equation -- Nonparametric Inference of a