Some properties of Bi-Weibull distributions

QR Code

Some properties of Bi-Weibull distributions

In reliability, a Bi-Weibull distribution can be represented by a combination of two decreasing, constant or increasing failure rate functions. Several versions of Bi-Weibull distributions can be found but these versions differ in the way in which the two Weibull distributions were combined and i...

Full description

Bibliographic Details
Main Authors:	Ahmad Mahir Razali, Ali A. Salih Alwakeel
Format:	Article
Published:	Penerbit ukm 2008
Online Access:	http://journalarticle.ukm.my/1871/

Similar Items

Weibull Burr X distribution properties and application
by: Ibrahim, Noor Akma, et al.
Published: (2017)

Generalized Modified Weibull and Exponentiated Weibull Exponential distributions for cure fraction models of cancer patients
by: Omer, Mohamed Elamin Abdallah Mohamed Elamin
Published: (2023)

Exponentiated Kumaraswamy Exponentiated Weibull distribution with application
by: Ibrahim, Noor Akma, et al.
Published: (2018)

The Gompertz flexible Weibull distribution and its applications
by: Khaleel, Munddher Abdullah, et al.
Published: (2020)

Comparison of the Bayesian and maximum likelilhood estimation for Weibull distribution
by: Al Omari, Mohammed Ahmed, et al.
Published: (2010)

Bayesian survival estimator for Weibull distribution with censored data.
by: Mohammed Ahmed, Al Omari, et al.
Published: (2011)

Optimal linear regression estimator in the fitting of Weibull strength distribution
by: Nohut, S., et al.
Published: (2014)

Bayesian parameter and reliability estimate of Weibull failure time distribution
by: Guure, Chris Bambey, et al.
Published: (2014)

Bayesian inference of Weibull distribution for right and interval censored data
by: Guure, Chris Bambey
Published: (2013)

Comparison of Gamma and Weibull distributions in simulating hourly rainfall in peninsular Malaysia
by: Abdul Halim, Syafrina, et al.
Published: (2018)

Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients
by: Mohamed Elamin Omer, Mohamed Elamin Abdallah, et al.
Published: (2020)

Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
by: Kadhem, Athraa Ali, et al.
Published: (2017)

Methods for estimating the 2-parameter Weibull distribution with type-1 censored data
by: Guure, Chris Bambey, et al.
Published: (2013)

Robust estimation of the three parameter Weibull distribution for addressing outliers in reliability analysis
by: Mohd Safari, Muhammad Aslam, et al.
Published: (2025)

Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
by: Tarik Aziz Patwary, Tarik Aziz Patwary, et al.
Published: (2023)

Parallel Weibull regression model.
by: Arasan, Jayanthi
Published: (2008)

Some method on survival analysis via Weibull model in the present of partly interval censored: a short review
by: Fauzi , Nurul Akma, et al.
Published: (2015)

Advanced wind speed prediction model based on combination of weibull distribution and artificial neural network
by: Kadhem, Athraa Ali, et al.
Published: (2017)

Estimating down time of glove dipping machines operation using Exponential and Weibull distributions
by: Nor Hamizah Miswan,
Published: (2023)

Parametric estimation for partly interval-censored failure time data under Weibull distribution
by: Mohammad Alharpy, Azzah, et al.
Published: (2014)

Bayesian estimator for Weibull distribution with censored data using extension of Jeffrey prior information
by: Ahmed, Al Omari Mohammed, et al.
Published: (2010)

Cure models based on Weibull distribution with and without covariates using right censored data
by: Yusuf, Madaki Umar, et al.
Published: (2016)

The tensile strength analysis of kenaf fibre reinforced epoxy composites by using Weibull distribution / Abdul Hakim Abdullah and Razali Hassan
by: Abdullah, Abdul Hakim, et al.
Published: (2014)

Competing Risk Models in Reliability Systems, a Weibull Distribution Model with Bayesian Analysis Approach
by: Ismed, Iskandar, et al.
Published: (2015)

An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.
by: I. Aljawadi , Bader Ahmad, et al.
Published: (2011)

Non-mixture cure model estimation in bladder cancer patients: a novel approach with exponentiated Weibull exponential distribution
by: Omer, Mohamed Elamin, et al.
Published: (2023)

Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
by: Mohammad Alharpy, Azzah, et al.
Published: (2013)

Approximate bayesian estimates of weibull parameters with Lindley’s method
by: Guure, Chris Bambey, et al.
Published: (2014)

Two parameters weibull analysis on mechanical properties of kenaf fiber under various conditions of alkali treatment
by: Hashim, Mohd Yussni, et al.
Published: (2020)

Fatigue life prediction of the SAE 1045 medium carbon steel using the acoustic emission technique associated with Weibull distribution approach
by: Mohammad, Mazian, et al.
Published: (2013)

Assessing the adequacy of Weibull survival models: a simulated envelope approach
by: Zhao, Yun, et al.
Published: (2011)

Estimating a logistic Weibull mixture models with long-term survivors.
by: Abu Bakar, Mohd Rizam, et al.
Published: (2006)

Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
by: Hamza, Abubakar
Published: (2023)

Some properties of Gamma Burr type X distribution with application
by: Khaleel, Mundher Abdullah, et al.
Published: (2016)

Fatigue Life Assessment of SAE 1045 Carbon Steel under Strain Events using the Weibull Distribution / Mazian Mohammad...[et al.]
by: Mohammad, Mazian, et al.
Published: (2018)

A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on beta-Weibull distribution
by: Yusuf, Madaki Umar, et al.
Published: (2016)

Wind energy potential assessment using Weibull distribution with various numerical estimation methods: a case study in Mersing and Port Dickson, Malaysia
by: Mohd Safari, Muhammad Aslam, et al.
Published: (2022)

Confidence limits for Weibull parameters estimated using linear least squares analysis
by: Davies, Ian
Published: (2017)

Unbiased estimation of the Weibull scale parameter using linear least squares analysis
by: Davies, Ian
Published: (2017)

Flood Frequency Analysis For Sarawak Using Weibull, Gringorten And L-Moments Formula
by: Onni S., Selaman, et al.
Published: (2007)