Accession Number : AD0776760

Title :   Nearly Best Linear Invariant Conditional Estimation of the Mean and Standard Deviation of the Logistic Distribution.

Descriptive Note : Master's thesis,

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

Personal Author(s) : Dunigan,John M.

Report Date : DEC 1970

Pagination or Media Count : 354

Abstract : The method of Lagrangian Multipliers, based upon the use of order statistics, is used to find the nearly best, linear, invariant, conditional estimators for the mean and standard deviation of the logistic distribution. Coefficients for multiplying ordered logistic statistics are developed for full and censored samples of size N=2(1)40. The censored samples are singly censored from above and symmetrically double censored from each end. The use of the conditional estimation coefficients for simultaneous parameter estimation is shown. (Author)

Descriptors :   *Sampling, *Distribution functions, Standard deviation, Mean, Estimates, Tables(Data), Theses

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE