
Accession Number : ADA320984
Title : IntervalCensored Data.
Descriptive Note : Technical rept.,
Corporate Author : PENNSYLVANIA STATE UNIV UNIVERSITY PARK
Personal Author(s) : AbuTaleb, Ahmed A. ; Rao, M. B.
PDF Url : ADA320984
Report Date : DEC 1996
Pagination or Media Count : 79
Abstract : In estimating the lifetime distribution of a product, the following periodic inspection plan is put forward. Select a random sample of n units of the product and set them to work. Choose an integer m > or = 1, numbers 0<t1<t2<...<tm, and inspect the units at times t1, t2,...,tm. The data consist of number of units that fail between every two consecutive inspection times. The choice of m and numbers t1,t2,...,tm are discussed in this paper. Some graphical methods are presented to identify the parametric model of the underlying lifetime distribution based on the intervalcensored data gathered. A new method of estimating the parameters of the lifetime distribution based on Linear Model Theory is presented and compared with the method of maximum likelihood.
Descriptors : *STATISTICAL DATA, *ANALYSIS OF VARIANCE, *NORMAL DISTRIBUTION, MATHEMATICAL MODELS, WEIBULL DENSITY FUNCTIONS, PARAMETRIC ANALYSIS, MAXIMUM LIKELIHOOD ESTIMATION, PROBABILITY DISTRIBUTION FUNCTIONS, RANDOM VARIABLES, STATISTICAL SAMPLES, ASYMPTOTIC NORMALITY, DISTRIBUTION THEORY.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE