Results 41 to 50 of about 23,423 (163)

Tangent Exponentiated Odd Log-Logistic Weibull Quantile Regression with Applications to Complete and Censored Data [PDF]

The Egyptian Statistical Journal
A contemporary quantile regression model is formulated utilizing the tan exponentiated odd log-logistic Weibull distribution proposed in this study. The novel regression model is capable of modeling both complete and censored data, making it desirable ...
Mohammed Hashim Mustpha, Dioggban Jakperik, Suleman Nasiru   +2 more
doaj   +1 more source

Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application

Complexity, 2022
In several experiments of survival analysis, the cause of death or failure of any subject may be characterized by more than one cause. Since the cause of failure may be dependent or independent, in this work, we discuss the competing risk lifetime model ...
Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba   +3 more
doaj   +1 more source

Bayesian and non-Bayesian estimation of dynamic cumulative residual Tsallis entropy for moment exponential distribution under progressive censored type II

Open Physics, 2023
The dynamic cumulative residual (DCR) entropy is a helpful randomness metric that may be used in survival analysis. A challenging issue in statistics and machine learning is the estimation of entropy measures.
Alyami Salem A., Hassan Amal S., Elbatal Ibrahim, Elgarhy Mohammed, El-Saeed Ahmed R.   +4 more
doaj   +1 more source

Inference for Two-Parameter Birnbaum–Saunders Distribution Based on Type-II Censored Data with Application to the Fatigue Life of Aluminum Coupon Cuts

Mathematics
This study addresses the problem of parameter estimation and prediction for type-II censored data from the two-parameter Birnbaum–Saunders (BS) distribution.
Omar M. Bdair
doaj   +1 more source

SAMPLE SIZE DETERMINATION IN NON-RADOMIZED SURVIVAL STUDIES WITH NON-CENSORED AND CENSORED DATA

Journal of Research in Medical Sciences, 2003
Introduction: In survival analysis, determination of sufficient sample size to achieve suitable statistical power is important .In both parametric and non-parametric methods of classic statistics, randomn selection of samples is a basic condition ...
S FAGHIHZADEH, M RAHGOZAR
doaj  

Parametric Model Discrimination for Heavily Censored Survival Data [PDF]

, 2008
Simultaneous discrimination among various parametric lifetime models is an important step in the parametric analysis of survival data. We consider a plot of the skewness versus the coefficient of variation for the purpose of discriminating among ...
L.M. Leemis, A.D. Block, Leemis, Lawrence, Block, A. D.   +3 more
core   +2 more sources

A Comparative Analysis Of Two-Parameter Weibull And Generalized Weibull Models With Bayesian Estimations For Modelling Survival Data With Interval Censoring To Determination Of Age At Death. Case Study: Discovered Human Remnants From Cemetery Of The Historical Site Of Shahr-I-Sokhta, Zabol-Iran

, 2017
Human skeletons are among the most important data in archaeological records; it is important to study these data in order to extract biological and cultural information. One of the most widely used statistical methods for analyzing such data is the survival analysis.
openaire   +1 more source

Censored Quantile Regression Redux [PDF]

Quantile regression for censored survival (duration) data offers a more flexible alternative to the Cox proportional hazard model for some applications. We describe three estimation methods for such applications that have been recently incorporated into ...
Roger Koenker
core  

Issues in Model Selection, Minimax Estimation, and Censored Data Analysis [PDF]

, 2007
In this dissertation, we address several research problems in statistical inference. We obtain results in the following four directions: linear model selection, minimax estimation of linear functionals, Bayes type estimators for the survival functions ...
Zhao, Meng
core   +1 more source

Inferences for the GKME Distribution Under Progressive Type-I Interval Censoring with Random Removals and Its Application to Survival Data

Axioms
The analysis of lifetime data under censoring schemes plays a vital role in reliability studies and survival analysis, where complete information is often difficult to obtain. This work focuses on the estimation of the parameters of the recently proposed
Ela Verma, Mahmoud M. Abdelwahab, Sanjay Kumar Singh, Mustafa M. Hasaballah   +3 more
doaj   +1 more source