| 摘要 | 第1-6页 |
| Abstract | 第6-9页 |
| 1. Overview of change-point problem | 第9-32页 |
| ·Introduction | 第9-11页 |
| ·The maximum likelihood approach | 第11-16页 |
| ·CUSUM(cumulative sum)method | 第16-17页 |
| ·Non-parametric methods | 第17-29页 |
| ·Processes based on U-statistics | 第18-21页 |
| ·Rank method of change-point problem | 第21-26页 |
| ·Statistical Inferences Based on the Change-point of Empir-ical Process | 第26-29页 |
| ·Bayes Method of Change-point | 第29-32页 |
| 2. Nonparametric estimating of change-point near the end points of long-range dependent sequences | 第32-57页 |
| ·Introduction | 第32-35页 |
| ·Preliminary | 第35-39页 |
| ·Notations and Setting | 第39-43页 |
| ·Some examples of semi-norm | 第40-41页 |
| ·Dependence structure of the sequence | 第41-43页 |
| ·Statement of results and proofs | 第43-54页 |
| ·Monto-carlo Evidence | 第54-57页 |
| 3. Local CUSUM Estimating for Change-point of Continuous Sequences with Noise | 第57-67页 |
| ·Statistical estimation based on partial data set | 第57-59页 |
| ·Analysis of continuous processes with noise | 第59-67页 |
| BIBLIOGRAPHY | 第67-73页 |
| Publieations | 第73-74页 |
| Acknwoledgement | 第74-75页 |
