Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153272 | Statistics & Probability Letters | 2008 | 5 Pages |
Abstract
A new concept of convergence concerning random probability measure is introduced in order to discuss the weak consistency of the bootstrap distribution estimator. Some results on random probabilities and conditional distributions corresponding to the classical theorems are proved. Finally we study the consistency of bootstrap distribution estimators for ordered parameters.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Shifeng Xiong, Guoying Li,