Accession Number : AD0675544

Title :   SIMULTANEOUS LINEAR ESTIMATION OF THE MEAN AND STANDARD DEVIATION OF THE NORMAL AND LOGISTIC DISTRIBUTIONS BY THE USE OF SELECTED ORDER STATISTICS FROM DOUBLY CENSORED SAMPLES.

Descriptive Note : Master's thesis,

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

Personal Author(s) : Simpson,Jackson S.

Report Date : DEC 1967

Pagination or Media Count : 312

Abstract : The method of least squares can be applied to order statistics of the Normal and Logistic distributions to estimate linearly the mean and standard deviation. For doubly censored samples of ordered observations, coefficients of estimation using the best L order statistics, where L is less than or equal to m (the number of observations remaining after censoring) were calculated and tabled. The efficiencies of the L-order-statistic estimators relative to the m-order statistic estimators are also tabled. Information concerning the Normal and Logistic distributions, their moments, and order statistics is given general coverage. (Author)

Descriptors :   (*STATISTICAL DISTRIBUTIONS, DECISION THEORY), (*RELIABILITY, MATHEMATICAL PREDICTION), FAILURE(MECHANICS), LEAST SQUARES METHOD, MONTE CARLO METHOD, ANALYSIS OF VARIANCE, COMPUTER PROGRAMS, SAMPLING, SIMULATION, TABLES(DATA), THESES

Subject Categories : Statistics and Probability
      Mfg & Industrial Eng & Control of Product Sys

Distribution Statement : APPROVED FOR PUBLIC RELEASE