Results 11 to 20 of about 20,538 (162)

Reliability analysis of computed tomography equipment using the q‐Weibull distribution

open access: yesEngineering Reports, 2023
Inspired by the successful application of the q‐Weibull distribution in other research fields, we took the lead to use it in the field of medical devices in this work.
Litian Fan   +5 more
doaj   +1 more source

Description of the statistical variations of the measured strength for brittle ceramics: A comparison between two-parameter Weibull distribution and normal distribution [PDF]

open access: yesProcessing 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
doaj   +1 more source

The Weibull-Gamma Distribution: Properties and Applications

open access: yesEntropy, 2019
A new member of the Weibull-generated (Weibull-G) family of distributions—namely the Weibull-gamma distribution—is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes.
Hadeel S. Klakattawi
doaj   +1 more source

Weibull, ��-Weibull and 3-parameter extended Weibull distributions

open access: yes, 2022
Here we will consider a function of -statistics, the -Weibull distribution, and compare it to the well-known Weibull distribution. The -Weibull will be also compared to the 3-parameter extended Weibull function, obtained according to the Marshall Olkin extended distributions.
openaire   +1 more source

A New Generalized Logarithmic–X Family of Distributions with Biomedical Data Analysis

open access: yesApplied Sciences, 2023
In this article, an attempt is made to propose a novel method of lifetime distributions with maximum flexibility using a popular T–X approach together with an exponential distribution, which is known as the New Generalized Logarithmic-X Family (NGLog–X ...
Zubir Shah   +7 more
doaj   +1 more source

The Weibull-geometric distribution [PDF]

open access: yesJournal of Statistical Computation and Simulation, 2011
In this paper we introduce, for the first time, the Weibull-Geometric distribution which generalizes the exponential-geometric distribution proposed by Adamidis and Loukas (1998). The hazard function of the last distribution is monotone decreasing but the hazard function of the new distribution can take more general forms.
Barreto-Souza, Wagner   +2 more
openaire   +2 more sources

Alpha power inverse Weibull distribution: A new lifetime distribution with application to gastric cancer data [PDF]

open access: yesITM Web of Conferences
Lifetime data analysis has an essential role in various fields of science. In general, lifetime data have a skewed distribution pattern. The Weibull distribution is one of the most frequently used distributions for modeling lifetime data.
Rasjid Julio Majesty   +2 more
doaj   +1 more source

On the identifiability and statistical features of a new distributional approach with reliability applications

open access: yesAIP Advances, 2023
Probability distributions have prominent applications in different sectors. Among these sectors, probability models are mostly used to analyze datasets in engineering. Among the existing probability distributions, the two-parameter Weibull model plays an
Badr Alnssyan   +4 more
doaj   +1 more source

Comparative Analysis of Wind Energy Potential with Nakagami and Weibull Distribution Methods for Wind Turbine Planning

open access: yesAceh International Journal of Science and Technology, 2023
Wind energy is renewable energy used as an energy source for wind power plants (PLTB). The most common distribution method used to model wind speed distribution data is the Weibull distribution.
Suriadi Suriadi   +5 more
doaj   +1 more source

Some Generalizations of Weibull Distribution and Related Processes [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
A new class of distributions containing Marshall-Olkin extended Weibull distribution is introduced. The role of this distribution in the study of minification process is established.
K. Jayakumar, M. Girish Babu
doaj   +1 more source

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