The construction of appropriate estimators is complicated when data are sampled according to complex rules, or when multiple measurements with different inherent biases are available. This research will develop estimation procedures for certain of these cases. Then their statistical properties will be investigated when sampling is multistage, or when estimates are obtained by combining biased and unbiased estimators. Constructions of admissible estimators for spherically symmetric families will also be sought using extensions of James-Stein procedures.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Application #
9023172
Program Officer
Sallie Keller-McNulty
Project Start
Project End
Budget Start
1991-06-01
Budget End
1995-05-31
Support Year
Fiscal Year
1990
Total Cost
$267,999
Indirect Cost
Name
Rutgers University
Department
Type
DUNS #
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901