On the Characterization of Nonnegatively Estimable Linear Combinations of Variance Components.

reportActive / Technical Report | Accession Number: ADA153786 | Open PDF

Abstract:

This document shows that, by a reparametrization, the problem of estimating a linear combination of variance components can be reduced to that of estimating single variance component. Such a reduction is used to obtain some characterizations of nonnegatively estimable linear combinations of various components, Characterization of nonnegative estimability using MINQUE is also discussed. Additional keywords quadratic subspace, QUEs quadratic unbiased estimators.

Author(s):
Mathew, T.
Author Organization(s):
PITTSBURGH UNIV PA CENTER FOR MULTIVARIATE ANALYSIS
Descriptive Note:
Technical rept.,
Supplementary Note:
DOI: 10.21236/ADA153786
Pagination:
0017

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
TR-85-06, AFOSR-TR-85-0353
Contract/Grant Number(s):
F49620-85-C-0008
Task Number(s):
A5
Project Number(s):
2304
Monitor Series:
TR-85-0353
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.2.2_Develop Knowledge and Situational Awareness; JCA_5.2_Understand; JCA_5.3_Planning; JCA_1.2_Force Preparation; JCA_1_Force Support
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*ANALYSIS OF VARIANCE, ESTIMATES, VARIATIONS, LINEARITY, PARTS
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
Quadratic subspace, Quadratic unbiased estimators, WUAFOSR2304A5, PE61102F
Report Date:
1985 Mar 01