On Selecting the Strongest Linear Relationship Between a Response Variable and an Explanatory Variable in Measurement Error Models

reportActive / Technical Report | Accession Number: ADA384447 | Open PDF

Abstract:

Measurement errors are the differences between the actual desired values and the observed values. In the real world, it is usually very difficult to obtain exactly the true values. Instead, one may only get the observed values that are related to the true values through the measurement errors. In this paper we investigate the problem of selecting the treatment that has the strongest relationship between the response variable and an explanatory variable in a linear measurement error model. A selection procedure based on moment estimates has been developed and the large sample performance of the derived selection rule has also been analyzed. At the end of this paper, a simulation study is carried out to illustrate the large sample performance of the selection procedure.

Author(s):
Gupta, Shanti S. ; Lin, Xun
Author Organization(s):
PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS
Descriptive Note:
Technical rept.
Supplementary Note:
DOI: 10.21236/ADA384447
Pagination:
0022

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
TR-00-06C, ARO-32922.27-MA
Contract/Grant Number(s):
DAAH04-95-1-0165
Monitor Series:
32922.27-MA, ARO
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.4_Decide; JCA_1.2_Force Preparation; JCA_1_Force Support; JCA_1.2.3_Educating; JCA_5.3_Planning; JCA_1.4.1_Force Health Protection; JCA_1.4_Force Support
Modernization Areas:
Fully Networked C3
Communities of Interest:
C4I
Descriptor(s):
*OPTIMIZATION, *STATISTICAL INFERENCE, STATISTICAL DATA, VARIABLES, ERROR ANALYSIS, METHOD OF MOMENTS, SELECTION
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
MEASUREMENT ERROR MODELS, ASYMPTOTICALLY OPTIMAL
Report Date:
2000 Jul 01
Creation Date:
2000 Dec 13