Interval-Censored Data.

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 interval-censored 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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1996
Accession Number
ADA320984

Entities

People

  • Ahmed A. Abu-taleb
  • M. B. Rao

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computations
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Estimators
  • Information Science
  • Inspection
  • Maximum Likelihood Estimation
  • New York
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistical Samples
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Instructional Design and Training Evaluation.
  • Regression Analysis.