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概率统计中的极限理论及其应用 版权信息
- ISBN：9787040221527
- 条形码：9787040221527 ; 978-7-04-022152-7
- 装帧：一般胶版纸
- 册数：暂无
- 重量：暂无
- 所属分类：>>
概率统计中的极限理论及其应用 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.
概率统计中的极限理论及其应用 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.
概率统计中的极限理论及其应用 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
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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