The evaluation of median-rank regression and maximum likelihood estimation techniques for a two-parameter Weibull distribution
D Olteanu, L Freeman - Quality Engineering, 2010 - Taylor & Francis
Practitioners frequently model failure times in reliability analysis via the Weibull distribution.
Often risk managers must make decisions after only a few failures. Thus, an important …
Often risk managers must make decisions after only a few failures. Thus, an important …
[HTML][HTML] Estimation of the confidence interval for the ratio of the coefficients of variation of two Weibull distributions and its application to wind speed data
M La-ongkaew, SA Niwitpong, S Niwitpong - Symmetry, 2022 - mdpi.com
The Weibull distribution, one of the most significant distributions with applications in
numerous fields, is associated with numerous distributions such as generalized gamma …
numerous fields, is associated with numerous distributions such as generalized gamma …
[引用][C] Failure models involving two Weibull distributions
R Jiang - 1996 - espace.library.uq.edu.au
Reliability theory deals with the study of unreliable systems. Reliability models play an
important role in reliability theory. The failure of a complex system occurs due to more than …
important role in reliability theory. The failure of a complex system occurs due to more than …
Inference on stress–strength reliability for exponential distributions with a common scale parameter
This paper considers estimation of the stress–strength reliability when the stress and
strength follow two-parameter exponential distributions having different location parameters …
strength follow two-parameter exponential distributions having different location parameters …
A comparative study for parameter estimation of the Weibull distribution in a small sample size: An application to spring fatigue failure data
X Yang, L Xie, Y Yang, B Zhao, Y Li - Quality Engineering, 2023 - Taylor & Francis
The Weibull distribution is the most widely applied model in reliability analysis. The main
objective of this paper is to present a simple method called the minimum discrepancy …
objective of this paper is to present a simple method called the minimum discrepancy …
[HTML][HTML] A new extension of the generalized half logistic distribution with applications to real data
M Muhammad, L Liu - Entropy, 2019 - mdpi.com
In this paper, we introduced a new three-parameter probability model called Poisson
generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing …
generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing …
Unbiased estimators for mean time to failure and percentiles in a Weibull regression model
Purpose–To present the bootstrap procedure to correct biases in maximum likelihood
estimator of mean time to failure (MTTF) and percentiles in a Weibull regression model …
estimator of mean time to failure (MTTF) and percentiles in a Weibull regression model …
A new weighted integral goodness-of-fit statistic for exponentiality
L Baringhaus, N Henze - Statistics & probability letters, 2008 - Elsevier
We propose a new weighted integral goodness-of-fit statistic for exponentiality. The statistic
is motivated by a characterization of the exponential distribution via the mean residual life …
is motivated by a characterization of the exponential distribution via the mean residual life …
Estimation of R= P (Y< X) for three-parameter Weibull distribution
In this paper we consider the estimation of the stress–strength parameter R= P (Y< X), when
X and Y are independent and both are three-parameter Weibull distributions with the …
X and Y are independent and both are three-parameter Weibull distributions with the …
On reliability in a multicomponent stress-strength model with power Lindley distribution
A Pak, AK Gupta, NB Khoolenjani - Revista colombiana de …, 2018 - revistas.unal.edu.co
In this paper we study the reliability of a multicomponent stress-strength model assuming
that the components follow power Lindley model. The maximum likelihood estimate of the …
that the components follow power Lindley model. The maximum likelihood estimate of the …