Results 1 to 10 of about 20,538 (162)

Neutrosophic Weibull distribution and Neutrosophic Family Weibull Distribution [PDF]

open access: yesNeutrosophic 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
doaj   +2 more sources

A novel extended inverse Weibull distribution: Statistical analysis and application. [PDF]

open access: yesPLoS ONE
This 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
doaj   +2 more sources

Exponentiated Weibull distribution

open access: yesStatistica, 2007
In this paper we study the family of distributions termed as exponentiated Weibull distribution. The distribution has three parameters (one scale and two shape) and the Weibull distribution and the exponentiated exponential distribution, discussed by ...
Manisha Pal, M. Masoom Ali, Jungsoo Woo
doaj   +2 more sources

Weibull Lindley Distribution

open access: yesRevstat Statistical Journal, 2018
A new distribution is introduced based on compounding Lindley and Weibull distributions. This distribution contains Lindley and Weibull distributions as special cases. Several properties of the distribution are derived including the hazard rate function,
A. Asgharzadeh   +2 more
doaj   +2 more sources

A mixture Weibull-Rayleigh distribution and its application [PDF]

open access: yesSongklanakarin 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
doaj   +1 more source

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]

open access: yesWind 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
doaj   +1 more source

A new Cosine-Weibull model: Distributional properties with applications to basketball and medical sectors

open access: yesAlexandria 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
doaj   +1 more source

New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector

open access: yesComplexity, 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
doaj   +1 more source

Comparison of Three-Parameter Weibull Distribution Parameter Estimators with the Maximum Likelihood Method

open access: yesSakarya 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
doaj   +1 more source

A Lifetime Distribution Based on a Transformation of a Two-Sided Power Variate [PDF]

open access: yesJournal 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
doaj   +1 more source

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