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Models involving two inverse Weibull distributions

Reliability Engineering and System Safety, 2001
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.
R Jiang, Ping Ji, D N P Murthy
exaly   +5 more sources

A Note On Beta Inverse-Weibull Distribution

Communications in Statistics - Theory and Methods, 2013
The inverse Weibull distribution is one of the widely applied distribution for problems in reliability theory. In this article, we introduce a generalization—referred to as the Beta Inverse-Weibull distribution—generated from the logit of a beta random variable.
Muhammad Qaiser Shahbaz   +2 more
exaly   +2 more sources

An alternative distribution to Weibull for modeling the wind speed data: Inverse Weibull distribution

Energy Conversion and Management, 2016
Abstract Weibull distribution is widely used for modeling the wind speed data in literature. However, in real life, the wind speed data may not always be modeled by using the Weibull distribution. In other words, it may not represent all wind speed characteristic encountered in nature.
Fatma Gul AKGÜL   +2 more
exaly   +3 more sources

Bayes 2-sample prediction for the inverse weibull distribution

Communications in Statistics - Theory and Methods, 1994
This paper deals with the problem of predicting, on the base of censored sampling, the ordered lifetimes in a future sample when samples are assumed to follow the inverse weibull distribution. Bayes prediction intervals are derived, both when no prior information is available and when prior informtion on the unreliability level at a fixed time is ...
Gianpaolo Pulcini
exaly   +3 more sources

The Weighted Inverse Weibull Distribution

International Journal of Research and Innovation in Applied Science, 2022
This paper introduces the Weighted Inverse Weibull distribution as inverse weighting of the Inverse Weibull distribution. Its various basic statistical properties were explicitly derived and the method of maximum likelihood estimation was used in estimating the model parameters.
Adetunji K. Ilori   +1 more
openaire   +1 more source

Discriminating among inverse Weibull, lognormal, and inverse Gaussian distributions

Quality and Reliability Engineering International, 2023
AbstractInverse Weibull, lognormal, and inverse Gaussian are some commonly used statistical distributions for modeling positively skewed failure lifetime data. These distributions share some interesting properties among themselves like they all have uni‐modal hazard rates.
Bishal Diyali   +2 more
openaire   +1 more source

On a Weibull-Inverse Exponential Distribution

Annals of Data Science, 2017
In this paper we study various reliability properties of a Weibull inverse exponential distribution. The maximum likelihood and Bayes estimates of unknown parameters and reliability characteristics are obtained. Bayes estimates are obtained with respect to the squared error loss function under proper and improper prior situations.
null Chandrakant   +2 more
openaire   +1 more source

Weibull and inverse Weibull composite distribution for modeling reliability data

Model Assisted Statistics and Applications, 2010
The Weibull distribution, frequently used for life data analysis, is composited with inverse Weibull distribution to obtain a computationally convenient parametric distribution for modeling reliability data. This two-parameter smooth and continuous natural composition has an inverse Weibull density up to an unknown threshold value and Weibull density ...
Kahadawala Cooray   +2 more
openaire   +1 more source

Modified Inverse Weibull Distribution

Journal of Statistics Applications & Probability, 2012
A generalized version of four parameter modified inverse weibull distribution (MIWD) is introduced in this paper. This distribution generalizes the following distributions: (1) Modified Inverse exponential distribution, (2) Modified Inverse Rayleigh distribution, (3) Inverse weibull distribution.
Muhammad Shuaib Khan, Robert King
openaire   +1 more source

Mixture of two inverse Weibull distributions: Properties and estimation

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Khalaf S. Sultan   +2 more
openaire   +2 more sources

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