1 |
Hougaard, P. (1986). A Class of Multivariate Failure Time Distributions, Biometrika, Vol. 73, No. 3, pp.671-678.
|
2 |
Hougaard, P., Harvald, B. and Holm, N. V. (1992). Measuring the Similarities Between the Lifetimes of Adult Danish Twins Born Between 1881-1930, Journal of the American Statistical Association, Vol. 87, pp. 17-24.
|
3 |
Jeong, H. S. and Kim, J. J.(1995). Nonparametric Estimation of Pr from Random Censored Data, Journal of the Korean Society for Quality Management, Vol. 23, No. 2, pp. 91-102.
|
4 |
Johnson, R. A. (1988). Stress-Strength Models for Reliability, Handbook of Statistics(Vol. 7), eds. P. R. Krishnaiah and C. R. Rao, Amsterdam; North-Holland.
|
5 |
Kaplan, E. L. and Meier, P. (1958). Nonparametric Estimation from Incomplete Observations, Journal of the American Statistical Association, Vol. 53, pp. 457-481.
DOI
ScienceOn
|
6 |
Reiser, B. and Guttman, I. (1986). Statistical Inference for Pr [Y < X], Technometrics, Vol. 28, pp. 253-257.
|
7 |
Weerahandi, S. and Johnson, R. A. (1992). Testing Reliability in a Stress-Strength Model When X and Y are Normally Distributed, Technometrics, Vol. 34, pp. 83-91.
DOI
ScienceOn
|
8 |
Yum, J. K. and Kim, J. J.(1984). Estimation of Pr [Y < X] in the Censored Case, Journal of the Korean Society for Quality Management, Vol. 12, pp. 9-15.
|
9 |
Yum, J. K. and Kim, J. J.(1985). A Study on the Bayes Estimator of = Pr [Y > X], Journal of the Korean Society for Quality Management, Vol. 13, pp. 8-12.
|
10 |
Barlow, R. E. and Proschan, F. (1981). Statistical Theory of Reliability and Life Testing, Probability Models, To Begin With, Silver Spring, MD.
|
11 |
Church, J. D. and Harris, B. (1970). The Estimation of Reliability from Stress-Strength Relationships, Technometrics, Vol. 12, pp.49-54.
DOI
ScienceOn
|
12 |
Downton, F. (1973). The Estimation of the Pr [Y < X] in the Normal Case, Technometrics, Vol. 15, pp. 551-558.
|
13 |
Fan, J., Prentice, R .L. and Hsu, L. (2000). A Class of Weighted Dependence Measures for Bivariate Failure Time Data, Journal of the Royal Statistical Society, Series B, Vol. 62, pp.181-190.
DOI
ScienceOn
|