Bayesian inference of Weibull distribution for right and interval censored data

QR Code

Bayesian inference of Weibull distribution for right and interval censored data

The main purpose of this work is to draw comparisons between the classical maximum likelihood and the Bayesian estimators on the parameters, the survival function and hazard rate of the Weibull distribution when the data under consideration are right and interval censored. We have considered the su...

Full description

Bibliographic Details
Main Author:	Guure, Chris Bambey
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Bayesian statistical decision theory Weibull distribution Censored observations (Statistics)
Online Access:	http://psasir.upm.edu.my/id/eprint/41449/ http://psasir.upm.edu.my/id/eprint/41449/1/IPM%202013%203R.pdf

Similar Items

Likelihood Inference In Parallel Systems Regression Models With Censored Data
by: S.M.Baklizi, Ayman
Published: (1997)

A simulation study on competing risks with censored data using cox model
by: Lukman, Iing
Published: (1999)

Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior
by: Ahmed, Al Omari Mohammed
Published: (2013)

Bayesian approach to meta-analysis with joint modelling of longitudinal and time-to-event outcomes in dementia and subtypes
by: Guure, Chris Bambey
Published: (2018)

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

Posterior predictive scimulation Checks for hierarchical Bayesian Modelling
by: M. Elobaid, Rafida, et al.
Published: (2010)

Bayesian perspectives on statistical modelling
by: Polson, Nicholas G.
Published: (1988)

Bayesian network modeling of gastrointestinal bleeding
by: Aisha, Nazziwa
Published: (2013)

Hierarchical Bayesian Spatial Models for Disease Mortality Rates
by: Mohamed Elobaid, Rafida
Published: (2009)

Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data
by: Rostami, Mohammad
Published: (2016)

Bayesian Network Classifiers for Damage Detection in Engineering Material
by: Mohamed Addin, Addin Osman
Published: (2007)

Bayesian nonparametric clustering with Dirichlet process mixture model for mixed-type data
by: Burhanuddin, Nurul Afiqah
Published: (2024)

Bayesian computational methods for stochastic epidemics
by: Stockdale, Jessica E.
Published: (2019)

Exact Bayesian inference for the Bingham distribution
by: Fallaize, Christopher J., et al.
Published: (2016)

Bayesian statistical inference of loglogistic model with interval-censored lifetime data
by: Guure, Chris Bambey, et al.
Published: (2015)

Selang Peramalan Bayesan untuk Data Masa Hayat Pareto di Bawah Penapisan Jenis II
by: Supandi, Epha Diana
Published: (2005)

A hybrid method of feature extraction and Naive Bayes classification for splitting identifiers
by: Alanee, Nahla
Published: (2016)

On the study of extremes with dependent random right-censoring
by: Stupfler, Gilles
Published: (2019)

Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
by: Chiaka, Emenyonu Sandra
Published: (2016)

Inference and diagnostics for generalized exponential distribution with fixed and time-dependent covariates and interval censored data
by: Al Hakeem, Hussein Ali Ghaffoori
Published: (2022)

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

A Naïve-Bayes classifier for damage detection in engineering materials
by: Addin, O., et al.
Published: (2007)

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

Bayesian interpretation of radiocarbon results
by: Christen, José Andrés
Published: (1994)

Dynamic bayesian networks in Classification-and-Ranking Architecture of Response Generation
by: Mustapha, Aida, et al.
Published: (2011)

Semiparametric inference procedure for the accelarated failure time model with interval-censored data
by: Karimi, Mostafa
Published: (2019)

K-sample tests based on survival analysis with interval-censored data
by: Elfaki, Faiz Ahmed Mohamed, et al.
Published: (2009)

A bayesian approach to intention-based response generation
by: Mustapha, Aida, et al.
Published: (2009)

Extreme air pollutant data analysis using classical and Bayesian approaches
by: Mohd Amin, Nor Azrita
Published: (2015)

Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nur Zhulianna Wan Rahmat Asmadi
by: Wan Rahmat Asmadi, Wan Nur Zhulianna
Published: (2015)

Cox's model for prison partly interval censored data
by: Ahmedi, Shaikha, et al.
Published: (2020)

Parametric estimation for randomly censored autocorrelated data.
by: Sithole, Moses M.
Published: (1997)

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

Goodness-of-fit test for discrete and censored data, based on the empirical distribution function
by: Pettitt, Anthony
Published: (1973)

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

Parametric model based on imputations techniques for partly interval censored data
by: Zyoud, Abdallah, et al.
Published: (2017)

Simulation of parametric model towards the fixed covariate of right censored lung cancer data
by: Muhamad Jamil, Siti Afiqah, et al.
Published: (2017)

Cold deck missing value imputation with a trust-based selection method of multiple web donors
by: Mohd Jaya, Mohd Izham
Published: (2018)

Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia
by: Ajibola, Lamidi-Sarumoh Alaba
Published: (2019)

Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework
by: Abdullah, Lili Nurliyana, et al.
Published: (2011)