Accession Number:

AD0776759

Title:

Nearly Best Linear Invariant Conditional Estimators of the Location and Scale Parameters of the Normal Distribution by Use of Order Statistics.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING

Personal Author(s):

• Criscimagna,Ned H.

Report Date:

1970-12-01

Pagination or Media Count:

356.0

Abstract:

Conditional estimators, based on order statistics, of the location and scale parameters of the normal distribution are developed using the method of Lagrange multipliers. Coefficients are tabulated for nearly best, linear, invariant, conditional estimators. They are designed to be used for samples of size 2 through 40, taken from a population which can be approximated by the normal distribution. The samples may be uncensored singly censored, or doubly censored. Simultaneous estimators may also be obtained using the tables. Author

Descriptors:

• *Sampling
• *Normal density functions
• Probability density functions
• Analysis of variance
• Estimates
• Reliability
• Tables(Data)
• Theses

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE