Results 31 to 40 of about 4,490,429 (285)

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

ITM 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, Nurrohmah Siti, Fithriani Ida   +2 more
doaj   +1 more source

Least squares fitting the three-parameter inverse Weibull density [PDF]

, 2010
The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the appropriate inverse Weibull density are not known and must be estimated from a random sample.
Marušić, Miljenko, Darija Marković, Dragan Jukić, Miljenko Marušić, Marković, Darija, Jukić, Dragan   +5 more
core   +1 more source

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

AIP 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, Zubair Ahmad, Jean-Claude Malela-Majika, Jin-Taek Seong, Wasswa Shafik   +4 more
doaj   +1 more source

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

Applied 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, Dost Muhammad Khan, Zardad Khan, Nosheen Faiz, Sundus Hussain, Asim Anwar, Tanveer Ahmad, Ki-Il Kim   +7 more
doaj   +1 more source

Some Generalizations of Weibull Distribution and Related Processes [PDF]

Journal 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

The weighted inverse Weibull distribution: Heavy-tailed characteristics, Monte Carlo simulation with medical application

Alexandria Engineering Journal
Probability distributions are very important in describing practical phenomena. Among the available probability distributions, the three-parameter generalized inverse Weibull (for short “GI-Weibull”) model has very useful applications in reliability ...
Mohammed AbaOud, Muqrin A. Almuqrin
doaj   +1 more source

A new probabilistic model with reliability properties and empirical analysis in musical education: A case study centered on piano

Alexandria Engineering Journal
This study mainly aims to enhance the current knowledge base of distribution theory by revealing a new probability distribution known as the cosine-weighted generalized inverse Weibull (CWGI-Weibull) distribution.
Weize Ma, Yueling Lang, Xiaohui Ma, Xintao Ma, Badr Alnssyan, Javid Gani Dar, Huda M. Alshanbari   +6 more
doaj   +1 more source

A New Alpha Power Cosine-Weibull Model with Applications to Hydrological and Engineering Data

Mathematics, 2023
Modifying the existing probability models in the literature and introducing new extensions of the existing probability models is a prominent and interesting research topic.
Abdulaziz S. Alghamdi, M. M. Abd El-Raouf   +1 more
doaj   +1 more source

Fracture statistics of brittle materials: Weibull or normal distribution

, 2002
The fit of fracture strength data of brittle materials (Si3N4, SiC, and ZnO) to the Weibull and normal distributions is compared in terms of the Akaike information criterion.
Danzer R, Lu, CS (reprint author), Univ Leoben, Inst Struktur & Funkt Keram, A-8700 Leoben, Austria., 卢春生, Fischer FD   +3 more
core   +1 more source

A covariance-based test for shared frailty in multivariate lifetime data [PDF]

, 2012
We decompose the score statistic for testing for shared finite variance frailty in multivariate lifetime data into marginal and covariance-based terms.
Kimber, Alan, Sarker, Shah-Jalal
core   +1 more source