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概率统计中的极限理论及其应用

封面

作者:黎子良,钱莲芬,邵启满 编

页数:533

出版社:高等教育出版社

出版日期:2007

ISBN:9787040221527

电子书格式:pdf/epub/txt

内容简介

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.

本书特色

an objective of the present volume of 18 papers by the invited speakers and contributors to the conference is to introduce graduate studentsto some active research areas in probability and statistics.most papersare survey papers so that the present volume can provide readers witha valuable resource in probability, statistics and their applications.obviously, we cannot cover all of the important topics of current research. the volume consists of three parts:(ⅰ) limit theorems,(ⅱ) statisticsand application,and (ⅲ) mathematical finance and insurance.

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-statistics
part 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

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Article Title:《概率统计中的极限理论及其应用》
Article link:https://www.teccses.org/111036.html