MVUE OF PR(X-LESS-THAN-Y) FOR MULTIVARIATE NORMAL-POPULATIONS - AN APPLICATION TO STRESS-STRENGTH MODELS

被引：3

|

作者：

SINGH, N ^{[1
]}

机构：

[1] MONASH UNIV,MELBOURNE,VIC 3004,AUSTRALIA

来源：

IEEE TRANSACTIONS ON RELIABILITY | 1981年 / 30卷 / 02期

关键词：

D O I：

10.1109/TR.1981.5221030

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

引用

收藏

页码：192 / 193

页数：2

相关论文

共 11 条

[1] A DISTRIBUTION-FREE UPPER CONFIDENCE BOUND FOR PR[Y-LESS-THAN-X] - AN APPLICATION TO STRESS-STRENGTH MODELS
SINGH, N
[J]. IEEE TRANSACTIONS ON RELIABILITY, 1983, 32 (02) : 214 - 216
[2] ESTIMATION OF PR(X-LESS-THAN-Y) IN THE EXPONENTIAL CASE WITH COMMON LOCATION PARAMETER
BAI, DS
HONG, YW
[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1992, 21 (01) : 269 - 282
[3] ESTIMATING PR(X-LESS-THAN-Y) IN CATEGORIZED DATA USING ROC ANALYSIS
BROWNIE, C
[J]. BIOMETRICS, 1988, 44 (02) : 615 - 621
[4] MVU ESTIMATORS FOR SOME MULTIVARIATE NORMAL PROBABILITY-MODELS - AN APPLICATION TO STRESS-STRENGTH MODELS
SINGH, N
[J]. MICROELECTRONICS AND RELIABILITY, 1983, 23 (01): : 5 - 10
[5] A CONFIDENCE-INTERVAL FOR PR(X-LESS-THAN-Y)-PR(X-GREATER-THAN-Y) ESTIMATED FROM SIMPLE CLUSTER SAMPLES
EDWARDES, MDD
[J]. BIOMETRICS, 1995, 51 (02) : 571 - 578
[6] DISTRIBUTION-FREE CONFIDENCE-INTERVALS FOR PR(X-LESS-THAN-Y) BASED ON INDEPENDENT SAMPLES OF X AND Y
HAMDY, MI
[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1995, 24 (04) : 1005 - 1017
[7] ESTIMATION OF PR (Y LESS THAN X) IN NORMAL CASE
DOWNTON, F
[J]. TECHNOMETRICS, 1973, 15 (03) : 551 - 558
[8] NONPARAMETRIC UPPER CONFIDENCE-BOUNDS FOR PR(Y LESS THAN X) + CONFIDENCE-LIMITS FOR PR)Y LESS THAN X) WHEN X + Y ARE NORMAL
OWEN, DB
HANSON, DL
CRASWELL, KJ
[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1964, 59 (307) : 906 - &
[9] STATISTICAL-INFERENCE FOR PR(Y-LESS-THAN-X) - THE NORMAL CASE
REISER, B
GUTTMAN, I
[J]. TECHNOMETRICS, 1986, 28 (03) : 253 - 257
[10] Effect of Dependency on the Estimation of P[Y < X] in Exponential Stress-strength Models
Patil, Dipak D.
Naik-Nimbalkar, U., V
Kale, M. M.
[J]. AUSTRIAN JOURNAL OF STATISTICS, 2022, 51 (04) : 10 - 34