Date of Award

3-1995

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Mathematics and Statistics

First Advisor

Kevin Lawson, PhD

Second Advisor

Dennis C. Deitz, PhD

Abstract

This thesis considers the problem of estimating the survival function of an item (probability that the item functions for a time greater than a given time t) from sampling data subject to partial right censoring (a portion of the items in the sampling data have not yet been observed to fail). Specifically the thesis describes several parametric and non-parametric statistical models that can be used when the sampling data is subject to partial right censoring. These models are applied to the case of estimating the captive-carry survival function of the AIM-120A Advanced Medium Range Air-to-Air Missile (AMRAAM).

AFIT Designator

AFIT-GOR-ENC-95M-01

DTIC Accession Number

ADA293859

Comments

The author's Vita page is omitted.

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