Results 31 to 40 of about 3,869 (180)
The Odd Inverse Pareto-Weibull Distribution [PDF]
Journal of Data Science, 2021 يتم تقديم توزيع باريتو- ويبول العكسي الغريب كتوزيع جديد مدى الحياة يعتمد على باريتو العكسي وعائلة T - X. تتم دراسة بعض الخصائص الرياضية للتوزيع الجديد. يتم استخدام طريقة الاحتمال الأقصى لتقدير معلمات النموذج ويتم اشتقاق مصفوفة معلومات فيشر المرصودة. يتم تقييم أهمية ومرونة النموذج المقترح باستخدام بيانات حقيقية.
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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 +2 more
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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 +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
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On bivariate inverse Weibull distribution
Brazilian Journal of Probability and Statistics, 2017 Inverse Weibull distribution has been used quite successfully to analyze lifetime data which has non-monotone hazard function. The main aim of this paper is to introduce bivariate inverse Weibull distribution along the same line as the Marshall–Olkin bivariate exponential distribution, so that the marginals have inverse Weibull distributions.
Kundu, Debasis, Gupta, Arjun K.
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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 +1 more
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Bayesian Estimation of the Kumaraswamy Inverse Weibull Distribution [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 The Kumaraswamy InverseWeibull distribution has the ability to model failure rates that have unimodal shapes and are quite common in reliability and biological studies.
Felipe R.S. de Gusmão +2 more
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Parameter Estimation of the Weighted Generalized Inverse Weibull Distribution
Journal of Statistical Theory and Applications (JSTA), 2021 Weighted distributions are used widely in many fields of real life such as medicine, ecology, reliability, and so on. The idea of weighted distributions was given by Fisher and studied by Rao in a unified manner who pointed out that in many situations ...
Sofi Mudasir, S.P. Ahmad
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An extensive mathematical approach for wind speed evaluation using inverse Weibull distribution
Alexandria Engineering Journal, 2023 Wind velocity and potential are frequently estimated using probability density functions (PDFs) such as the Inverse Weibull and Rayleigh. Determining whether they are suitable for modelling observed distributions is crucial.
Sadiah M. Aljeddani, M.A. Mohammed
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Gompertz Topp–Leone invers Weibull Distributions: Some Properties and Application
Tikrit Journal of Administrative and Economic Sciences, 2023 The Gompertz Topp Leone Inverse Weibull distribution GoTLIW distribution, which has four parameters, is a novel distribution that we introduce in this article.
Sahib S. Hammed, Mundher A. Khaleel
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