ESTIMATION OF PR(X-GREATER-THAN) OR PR (X-LESS-THAN-OR-EQUAL-TO-Y)

被引：3
|
作者：
PORAT, Z
HAIM, M
MARKIEWICZ, Y
机构：
来源：
IEEE TRANSACTIONS ON RELIABILITY | 1994年 / 43卷 / 03期
关键词：
SEVERITY FACTOR; GAUSSIAN DISTRIBUTION; BINOMIAL DISTRIBUTION; RELIABILITY DEMONSTRATION; STRESS-STRENGTH MODEL;
D O I：
10.1109/24.326447
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents a procedure for the estimation (point & interval) for a reliability model of the form Pr{X>Y} or Pr{X less than or equal to Y} and Gaussian (normal) distributed variables. The procedures are derived from a quantitative approach that allows the user to get sufficient evidence, concerning the product reliability, by testing a small sample but at severe conditions, rather than testing a large sample at the nominal working conditions. Y has known parameters while X is a Gaussian r.v. with an unknown mean and a known coefficient-of-variation. The procedure is practical and cost effective when facing situations such as high test-cost, or severe contractual reliability requirements.
引用
下载
收藏
页码：466 / 469
页数：4
相关论文
共 50 条
12345