Estimation in Large Samples

reportActive / Technical Report | Accession Number: ADA201459 | Open PDF

Abstract:

Three problem areas were identified and studied nonparametric estimation with truncated data asymptotic expansions for randomly stopped sums with a view towards finding corrected confidence intervals in sequential problems and asymptotic local minimaxity in sequential estimation. In addition, some effort was devoted to understanding optimal sequential designs. The final report contains complete results of the research. Keywords Sampling Estimation Truncated data Asymptotic expansions Confidence intervals Optimal sequential designs.

Author(s):
Woodroofe, Michael
Author Organization(s):
MICHIGAN UNIV ANN ARBOR DEPT OF STATISTICS
Descriptive Note:
Final rept. 1 Jan 1985-30 Jun 1988
Supplementary Note:
DOI: 10.21236/ADA201459
Pagination:
0023

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ARO-22565.8-MA
Contract/Grant Number(s):
DAAG29-85-K-0008
Monitor Series:
22565.8-MA, ARO
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_1.4.1_Force Health Protection; JCA_1.4_Force Support; JCA_1.2_Force Preparation; JCA_1_Force Support; JCA_5.3_Planning; JCA_1.2.3_Educating; JCA_1.2.5_Lessons Learned
Modernization Areas:
Fully Networked C3
Communities of Interest:
C4I
Descriptor(s):
*SAMPLING, *ESTIMATES, INTERVALS, CORRECTIONS, CONFIDENCE LIMITS, TRUNCATION, ASYMPTOTIC SERIES, NONPARAMETRIC STATISTICS, SEQUENCES(MATHEMATICS)
Field(s)/Group(s):
Statistics and Probability
Report Date:
1988 Aug 01