论文信息 - Models involving two inverse Weibull distributions

Models involving two inverse Weibull distributions

In this paper, we look at three models (mixture, competing risk and multiplicative) involving two inverse Weibull distributions. We study the shapes of the density and failure-rate functions and discuss graphical methods to determine if a given data set can be modelled by one of these models. (C) 2001 Elsevier Science Ltd. All rights reserved.

Ping Ji | Renyan Jiang | D. N. P. Murthy

[1] D. N. P. Murthy,et al. Modeling failure-data by mixture of 2 Weibull distributions: a graphical approach , 1995 .

[2] A. Z. Keller,et al. Reliability analysis of commercial vehicle engines , 1985 .

[3] Wayne Nelson,et al. Applied life data analysis , 1983 .

[4] W. A. Golomski. Reliability and quality in design , 1995 .

[5] A. Drapella. The complementary weibull distribution: Unknown or just forgotten? , 1993 .

[6] N. L. Johnson,et al. Continuous Univariate Distributions. , 1995 .

[7] R. Calabria,et al. Confidence limits for reliability and tolerance limits in the inverse Weibull distribution , 1989 .

[8] D. N. P. Murthy,et al. Reliability modeling involving two Weibull distributions , 1995 .

[9] Ming J. Zuo,et al. Weibull and inverse Weibull mixture models allowing negative weights , 1999 .