Estimation of the reliability function for an object that is improved on the basis of data on the life-lengths and types of failures of an object that is not improved

Joachim Domsta. "Estimation of the reliability function for an object that is improved on the basis of data on the life-lengths and types of failures of an object that is not improved." Mathematica Applicanda 11.22 (1983): null. <http://eudml.org/doc/292837>.

@article{JoachimDomsta1983,
abstract = {The author considers a population Π of devices which can fail due to one of the modes of failure Ui, i=1,2,...,k. Assume that each device e in Π has a life which will terminate at time T(e) due to mode Uj. When a device is drawn at random from Π, the pair [T(e),j] is a two-dimensional random variable with probability distribution P(T,j) which determines the marginal survival function R(t)=P\{T>t\}, called the "reliability function before improvement". The author discusses possible improvement of such a population by procedures of two types. Type I consists of removing from Π all devices with certain unfavorable qualities, for example, those that fail due to Uj within a test period tj for specified j and tj, or those for which one can tell beforehand that they will fail due to a specified Uj. Type II consists of modifying the devices (e.g., by changing the manufacturing process) in a way that will change the probability distribution P(T,j) into some P~(T,j). In view of the multiplicity of modes of failure, this leads to questions dealing with competing risks.},
author = {Joachim Domsta},
journal = {Mathematica Applicanda},
keywords = {Reliability and life testing},
language = {eng},
number = {22},
pages = {null},
title = {Estimation of the reliability function for an object that is improved on the basis of data on the life-lengths and types of failures of an object that is not improved},
url = {http://eudml.org/doc/292837},
volume = {11},
year = {1983},
}

TY - JOUR
AU - Joachim Domsta
TI - Estimation of the reliability function for an object that is improved on the basis of data on the life-lengths and types of failures of an object that is not improved
JO - Mathematica Applicanda
PY - 1983
VL - 11
IS - 22
SP - null
AB - The author considers a population Π of devices which can fail due to one of the modes of failure Ui, i=1,2,...,k. Assume that each device e in Π has a life which will terminate at time T(e) due to mode Uj. When a device is drawn at random from Π, the pair [T(e),j] is a two-dimensional random variable with probability distribution P(T,j) which determines the marginal survival function R(t)=P{T>t}, called the "reliability function before improvement". The author discusses possible improvement of such a population by procedures of two types. Type I consists of removing from Π all devices with certain unfavorable qualities, for example, those that fail due to Uj within a test period tj for specified j and tj, or those for which one can tell beforehand that they will fail due to a specified Uj. Type II consists of modifying the devices (e.g., by changing the manufacturing process) in a way that will change the probability distribution P(T,j) into some P~(T,j). In view of the multiplicity of modes of failure, this leads to questions dealing with competing risks.
LA - eng
KW - Reliability and life testing
UR - http://eudml.org/doc/292837
ER -