Hao Yu: Asymptotic Methods in Nonlinear Time Series Models

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Asymptotic Theory in Probability and Sta 作者：Tze Leung Lai, Lianfen Qian, Q　　 ISBN：978-7-04-022152-7　出版时间：2007-06-22

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Front Matter

Part I: Limit Theorems

Tze Leung Lai, Qi-Man Shao: Self-normalized Limit Theorems in Probability and Statistics

Zhonggen Su: Asymptotic Analysis of Random Partitions

Li-Xin Zhang: Limit Theorems on Adaptive Designs in Clinical Trials

Wensheng Wang: Functional Limit Theorems for Gaussian Processes

Yimin Xiao: Strong Local Nondeterminism and Sample Path Properties of Gaussian Random Fields

Bin Chen, Miklós Csörg□: Large Deviations for Two-Parameter Gaussian Processes Related to Change-Point Analysis

Xia Chen: Intersection Local Times: Large Deviations and Laws of the Iterated Logarithm

Bing-Yi JING: Limit Theorems for U-Statistics

Part II: Statistics and Applications

Zhenhai Yang, Kai-Tai Fang, Samuel Kotz: On the Inverse Problem for the t-Statistic

Zhidong Bai, Shurong Zheng, Baoxue Zhang, Guorog Hu: Statistical Analysis for Rounded Data

Lianfen Qian: Piecewise Regression Models: Estimation Theory and Applications

Suojin Wang, Hua Liang, Lei Jin: Estimation in Partially Linear Models With Missing Data: A Review

Hao Yu: Asymptotic Methods in Nonlinear Time Series Models

Jun Yu, Bo Ranneby: Nonparametric Classification and Probabilistic Classifier with Environmental and Remote Sensing Applications

Jian Yang, Jun Zhu: Mixed Linear Model Approaches for Complex TTait Analysis

Part III: Mathematical Finance and Insurance

Chuanshu Ji: Inference and Computation for Stochastic Volatility Models Related to Option Pricing

Zengwu Wang, Jia-An Yan: A Selective Overview of Applications of Choquet Integrals

Hailiang Yang: Some Recent Developments in Actuarial Science

Hao Yu: Asymptotic Methods in Nonlinear Time Series Models

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