Results 11 to 20 of about 28,074 (208)

On the generalized inverse Weibull distribution [PDF]

AIP Conference Proceedings, 2019
A new class of continuous distributions based on generalized inverse Weibull has been introduced. As a special case, generalized inverse Weibull - generalized inverse Weibull distribution is proposed. The probability density function, cumulative distribution function, reliability and hazard rate functions are introduced.
Abid, Salah Hamza, Al-Noor, Nadia Hashim, Abd Alhussein Boshi, Mohammad   +2 more
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A versatile model for lifetime of a component under stress

Scientific Reports, 2023
In this study, a versatile model, called $$\alpha$$ α -monotone inverse Weibull distribution ( $$\alpha$$ α IW), for lifetime of a component under stress is introduced by using the $$\alpha$$ α -monotone concept.
Fatimah E. Almuhayfith, Talha Arslan, Hassan S. Bakouch, Aminh M. Alnaghmosh   +3 more
doaj   +1 more source

The Kumaraswamy-Inverse Weibull Distribution

SSRN Electronic Journal, 2012
In this paper we have proposed a new four parameter Inverse Weibull distribution that is based upon the cumulative distribution function of Kumaraswamy (1980) distribution. The distributional properties of the proposed distribution have been studied. Special cases of the proposed distribution have also been explored.
Muhammad Qaiser Shahbaz, Shahbaz Shahbaz, Nadeem Shafique Butt   +2 more
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The Exponentiated Kumaraswamy Inverse Weibull Distribution with Application in Survival Analysis [PDF]

Journal of Statistical Theory and Applications (JSTA), 2016
In this paper, a new distribution called the exponentiated Kumaraswamy inverse Weibull is proposed. This dis- tribution includes as special cases the inverse exponential, inverseWeibull, inverse Rayleigh and exponentiated inverse Weibull distributions ...
J.A. Rodrigues, A.P.C.M. Silva, G.G. Hamedani   +2 more
doaj   +1 more source

The McDonald’s Inverse Weibull Distribution

Pakistan Journal of Statistics and Operation Research, 2016
We have proposed a new Inverse Weibull distribution by using the generalized Beta distribution of McDonald (1984). Basic properties of the proposed distribution has been studied. Parameter estimation has been discussed alongside an illustrative example.
Shahbaz, Saman Hanif, Ismail, Muhammad, Butt, Nadeem Shafique   +2 more
openaire   +3 more sources

Alpha power inverse Weibull distribution: A new lifetime distribution with application to gastric cancer data [PDF]

ITM Web of Conferences
Lifetime data analysis has an essential role in various fields of science. In general, lifetime data have a skewed distribution pattern. The Weibull distribution is one of the most frequently used distributions for modeling lifetime data.
Rasjid Julio Majesty, Nurrohmah Siti, Fithriani Ida   +2 more
doaj   +1 more source

On gamma Inverse Weibull Distribution

Journal of the National Science Foundation of Sri Lanka, 2019
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical components is widely used in the field of biology, especially in the areas of survival and reliability analysis. In this paper, a generalisation of inverse Weibull distribution is presented using a new class of gamma distributions. For the proposed model,
Abbas, Salman, Hameed, Mahjabeen, Cakmakyapan, Selen, Malik, Sarfraz Nawaz   +3 more
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Weibull Inverse Lomax Distribution

Pakistan Journal of Statistics and Operation Research, 2019
A four-parameter lifetime model, named the Weibull inverse Lomax (WIL) is presented and studied. Some structural properties are derived. The estimation of the model parameters is performed based on Type II censored sample. Maximum likelihood estimators along with asymptotic confidence intervals of population parameters and reliability function are ...
Amal S Hassan, Rokaya E Mohamed
openaire   +2 more sources

On New Weibull Inverse Lomax Distribution with Applications

مجلة بغداد للعلوم, 2022
In this paper, simulation studies and applications of the New Weibull-Inverse Lomax (NWIL) distribution were presented. In the simulation studies, different sample sizes ranging from 30, 50, 100, 200, 300, to 500 were considered.
Jamilu Yunusa Falgore, Sani Ibrahim Doguwa   +1 more
doaj   +1 more source

The Impact of Two Data-Generating Processes for Competing Risk Data on the Discrimination and Calibration of Two Types of Competing Risk Regression Models. [PDF]

Stat Med
ABSTRACT Monte Carlo simulations are an important tool in modern statistical research. The data‐generating process is foundational to any simulation. In survival analysis, a competing risk is an event whose occurrence precludes the occurrence of the primary event of interest.
Austin PC, Putter H.
europepmc   +2 more sources