THE DOUBLY-TRUNCATED EXPONENTIATED INVERSE WEIBULL DISTRIBUTION
In this study, we introduce the five-parameter doubly-truncated exponentiated inverse Weibull distribution, where the truncation points are known, and consider its basic properties. Formulas for moment generating function, characteristic function, mean, variance and kurtosis of the distribution are derived.
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Reliable estimation of extreme waves is essential for offshore wind turbine system design; however, site-specific conditions limit the application of one-size-fits-all statistical methods.
Woobeom Han +3 more
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On The Estimation of Parameters for the Inverse Weibul Distribution [PDF]
Aluned A. El - Sawy, Eldesoky E. Afify
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The graphical method for goodness of fit test in the inverse Weibull distribution based on multiply type-II censored samples. [PDF]
Kang SB, Han JT.
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Bivariate Beta–Inverse Weibull Distribution: Theory and Applications
Ali Algarni, Muhammad Qaiser Shahbaz
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Bayesian and non-Bayesian estimation of the bivariate inverse Weibull distribution parameters using ranked set sampling with concomitant variable. [PDF]
Muhammed HZ, Shaaban M.
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Signed log-likelihood ratio test for the scale parameter of Poisson Inverse Weibull distribution with the development of PIW4LIFETIME web application. [PDF]
Yodnual S, Chumnaul J.
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Neutrosophic Extension of the New Odd Weibull-Inverse Weibull Distribution: Theory and Applications. [PDF]
M Salih A +3 more
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Predicting extreme thermal degradation of ascorbic acid (Vitamin C) using Bayesian-Inverse Weibull models: Applications in stability analysis and process optimization. [PDF]
Azeem R, Aslam M, Mehmood T, Al-Essa LA.
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