Results 91 to 100 of about 1,056 (208)

The exponentiated Weibull family: A graphical approach

, 1999
The exponentiated Weibull family extends the 2-parameter Weibull distribution. The shape of the Weibull plotting-paper plots are discussed, and a parametric characterization of the pdf and the failure rate for the exponentiated Weibull family are carried
Murthy, D. N. P., Jiang, R.
core   +1 more source

A Discrete Analogue of the Exponentiated Generalized Weibull-G Family: A New Discrete Distribution with Different Methods of Estimation and Application

Axioms
Statistical distributions play a crucial role in analyzing real data with varying behavior. In this study, the exponentiated generalized Weibull-G family is discretized using the survival discretization method.
Dawlah Alsulami
doaj   +1 more source

The Gamma-Weibull-G Family of Distributions with Applications

Austrian Journal of Statistics, 2018
Weibull distribution and its extended families has been widely studied in lifetime applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail this new class of distributions, namely, Gamma ...
Broderick Oluyede
doaj   +1 more source

The Modified Fréchet‐Exponentiated Exponential Distribution: Novel Model for Reliability and Survival Analysis

Journal of Probability and Statistics, Volume 2026, Issue 1, 2026.
This study introduces a novel statistical model called the modified Fréchet‐exponentiated exponential (MFrEE) distribution. The existing exponentiated exponential (EE) distribution, while useful for lifetime and reliability data, has limited flexibility in capturing diverse hazard shapes and may not adequately model extreme events or tail behavior.
Merga Abdissa Aga, Shibiru Jabessa Dugasa, Habte Tadese, Ding-Geng Chen, Ramón M. Rodríguez-Dagnino   +4 more
wiley   +1 more source

Exponentiated Lomax-Weibull Distribution with Properties and Applications

, 2020
In this paper, the exponentiated Lomax-Weibull distribution is constructed as a new lifetime model using combination of the competing risk and exponentiation methods. Some new and existing distributions are presented as submodels. Mathematical properties
Osemwenkhae, Joseph E., Osagie, Sunday A.   +1 more
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Exponentiated discrete weibull distribution for censored data

, 2020
This paper further develops the statistical inference procedure of the exponentiated discrete Weibull distribution (EDW) for data with the presence of censoring. This generalization of the discrete Weibull distribution has the advantage of being suitable
Cardial, Marcílio Ramos Pereira, Gomes, Juliana Betini Fachini, Nakano, Eduardo Yoshio   +2 more
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Adopting a new sine-induced statistical model and deep learning methods for the empirical exploration of the music and reliability data

Alexandria Engineering Journal
The presence of probability-driven models is highly influential in setting the stage for vital decision-making in domains including reliability, engineering, music engineering, and other closely interconnected scenarios.
Yanli Yu, Yan Jia, Mohammed A. Alshahrani, Osama Abdulaziz Alamri, Hanita Daud, Javid Gani Dar, Ahmad Abubakar Suleiman   +6 more
doaj   +1 more source

A Simple Derivation of Moments of the Exponentiated Weibull Distribution

Exponentiated Weibull distribution, Failure rate, Laplace Transform, Moments, Weibull distribution,
Amit Choudhury
core   +1 more source

Exponentiated Inverse Flexible Weibull Extension Distribution

, 2017
A new two parameter distribution is recently propoesd by El-Gohary et al. [8], called as the inverse flexible Weibullextension distribution. In this paper, we propose a new three parameter model by exponentiating the inverse flexible Weibull extension ...
El-Gohary, A., A. H. El-Bassiouny, M. El-Morshedy, A. El-Gohary, El-Morshedy, M., H. El-Bassiouny, A.   +5 more
core   +1 more source

Application of Burrxii-Dal and Weibull-Dal Distribution: A Case Study of Wheat Yield in Multan Pakistan [PDF]

, 2023
Background Statistical analysis is highly dependent on the Probability distribution of the data and new models are most important part for the expansion of this field.
Okwonu, Friday Zinzendoff, Md Yusof, Zahayu, Nawaz, Shahbaz   +2 more
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