Accession Number:

ADA158393

Title:

A Joint Central Limit Theorem for the Sample Mean and Regenerative Variance Estimator.

Descriptive Note:

Technical rept.,

Corporate Author:

STANFORD UNIV CA DEPT OF OPERATIONS RESEARCH

Personal Author(s):

Report Date:

1985-03-01

Pagination or Media Count:

22.0

Abstract:

A bivariate central limit theorem is proved involving a point estimate for r and the asymptotic variance of this point estimate. This result can be applied immediately to the ratio estimation problem that arises in regenerative simulation. Numerical examples show that the variance of the regenerative variance estimator is not necessarily minimized by using the return state with the smallest expected cycle length. Additional keywords Computations Tablesdata.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE