内容提要 This volume is a collection of 18 papers on asymptotic theory in probability, statistics and their applications to a wide variety of problems.It contains three parts, limit theorems, statistics and applications, mathematical finance and Insurance.Most papers are survey papers and the volume is intended for graduate students in probability and statistics and researchers in related areas. 目录 Part Ⅰ: Limit Theorems. Self-normalized Limit Theorems in Probability and Statistics Asymptotic Analysis of Random Partitions Limit Theorems on Adaptive Designs in Clinical Trials Functional Limit Theorems for Gaussian Processes Strong Local Nondeterminism and Sample Path Properties of Gaussian Random Fields Large Deviations for Two-Parameter Gaussian Processes Related to Change-Point Analysis Intersection Local Times: Large Deviations and Laws of the Iterated Logarithm Limit Theorems for U-StatisticsPart Ⅱ: Statistics and Applications On the Inverse Problem for the t-Statistic Statistical Analysis for Rounded Data Piecewise Regression Models: Estimation Theory and Applications Estimation in Partially Linear Models With Missing Data: A Review Asymptotic Methods in Nonlinear Time Series Models Nonparametric Classification and Probabilistic Classifier with Environmental and Remote Sensing Applications Mixed Linear Model Approaches for Complex Trait AnalysisPart Ⅲ: Mathematical Finance and Insurance Inference and Computation for Stochastic Volatility Models Related to Option Pricing A Selective Overview of Applications of Choquet Integrals Some Recent Developments in Actuarial Science 作者介绍
以下为对购买帮助不大的评价