Neutrosophic Weibull distribution and Neutrosophic Family Weibull Distribution [PDF]
Neutrosophic Sets and Systems, 2019 Many problems in life are filled with ambiguity, uncertainty, impreciseness …etc., therefore we need to interpret these phenomena. In this paper, we will focus on studying neutrosophic Weibull distribution and its family, through explaining its special
Kawther Fawzi Hamza Alhasan1 +1 more
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A novel extended inverse Weibull distribution: Statistical analysis and application. [PDF]
PLoS ONEThis paper proposes a new type of exponential-type Weibull distribution based on the inverse Weibull distribution --- the transformed inverse Weibull distribution.
Qin Gong +3 more
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A mixture Weibull-Rayleigh distribution and its application [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 In this paper, we introduced a mixture Weibull-Rayleigh (MWR) distribution, which was generated by the twocomponent mixture distribution, i.e., Weibull-Rayleigh and length-biased Weibull-Rayleigh distributions.
Tanachot Chaito +4 more
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Bayesian method for estimating Weibull parameters for wind resource assessment in a tropical region: a comparison between two-parameter and three-parameter Weibull distributions [PDF]
Wind Energy Science, 2023 The two-parameter Weibull distribution has garnered much attention in the assessment of wind energy potential. The estimation of the shape and scale parameters of the distribution has brought forth a successful tool for the wind energy industry. However,
M. G. M. Khan, M. R. Ahmed
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Alexandria Engineering Journal, 2023 The two-parameter classical Weibull distribution is commonly implemented to cater for the product’s reliability, model the failure rates, analyze lifetime phenomena, etc. In this work, we study a novel version of the Weibull model for analyzing real-life
Xueyu Wu +6 more
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New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector
Complexity, 2022 Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory,
Mohammed M. A. Almazah +5 more
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022 Important distributions used to model and analyse data in various real-life sciences such as natural sciences, engineering, and medicine are the Weibull, Weibull exponential, and Weibull Rayleigh distribution.
Sejhan Idrizi +3 more
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Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions [PDF]
, 2020 We propose the notion of sub-Weibull distributions, which are characterised by tails lighter than (or equally light as) the right tail of a Weibull distribution.
Arbel, Julyan +3 more
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A Lifetime Distribution Based on a Transformation of a Two-Sided Power Variate [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 We introduce a new generalization of Weibull distribution by making use of a transformation of the standard two- sided power distributed random variable.
Mustafa C. Korkmaz, Ali I. Genc
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Description of the statistical variations of the measured strength for brittle ceramics: A comparison between two-parameter Weibull distribution and normal distribution [PDF]
Processing and Application of Ceramics, 2020 It is generally assumed that the measured strength of brittle ceramics follows a Weibull distribution. However, there seems to be few sound and direct evidences to support this assumption.
Deng Bin +3 more
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