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A New Approach for Regression Analysis of Multivariate Current Status Data with Informative Censoring
Regression analysis of interval-censored failure time data has recently attracted a great deal of attention partly due to their increasing...
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Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring
In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power...
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Regression Analysis of Misclassified Current Status Data with Informative Observation Times
Misclassified current status data arises if each study subject can only be observed once and the observation status is determined by a diagnostic...
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Instantaneous failure analysis on Lindley distribution under progressive type II censoring
This paper deals with the analysis of the occurrence of instantaneous failures in Lindley distribution using progressive type-II censored samples....
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Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring
We consider a novel class of semiparametric joint models for multivariate longitudinal and survival data with dependent censoring. In these models,...
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An acoustic feedback canceler based on probe noise and informative data for hearing aids
One of the important issues encountered in acoustic feedback canceler (AFC) systems is the bias occurring in the estimation of the acoustic feedback...
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Transformation models with informative partly interval-censored data
Partly interval censoring is frequently encountered in clinical trials when the failure time of an event is observed exactly for some subjects but is...
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Bayesian and Likelihood Estimation in Two Inverse Pareto Populations Under Joint Progressive Censoring
In the era of growing technologies and demand for more reliable products, a comparative study of products from various manufacturing units has become...
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An additive hazards cure model with informative interval censoring
The existence of a cured subgroup happens quite often in survival studies and many authors considered this under various situations (Farewell in...
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Inference on Weibull inverted exponential distribution under progressive first-failure censoring with constant-stress partially accelerated life test
Accelerated life tests (ALTs) play a pivotal role in life testing experiments as they significantly reduce costs and testing time. Hence, this paper...
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Statistical Estimation of Exponential Power Distribution on Different Progressive Type-II Censoring Schemes
In recent life-testing experiments, Progressive Type-II (PT2) censoring has been used by several researchers in various problems. However, one...
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Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes
In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumaraswamy distribution based on progressive Type-II censoring....
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Estimating the entropy of a Rayleigh model under progressive first-failure censoring
Based on a progressive first-failure censoring (PFFC) sample, we discuss the statistical inferences of the entropy of a Rayleigh distribution. In...
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A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring
BackgroundFailure time data frequently occur in many medical studies and often accompany with various types of censoring. In some applications, left...
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Semiparametric Model for Recurrent Event Data Under Two Independent Competing Risks with Excess Zero and Informative Censoring
Recurrent event data are often encountered in longitudinal studies and in many other important areas such as Biomedical science, Econometrics,...
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Free-ranging dogs’ lifetime estimated by an approach for long-term survival data with dependent censoring
Populations of free-ranging dogs are still a matter of concern in develo** countries. The presence of stray dogs is associated with environmental...
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Multi-component Reliability Inference in Modified Weibull Extension Distribution and Progressive Censoring Scheme
The statistical inference of multi-component reliability stress–strength system with nonidentical-component strengths is considered for the modified...
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Bayesian inference for two log-logistic populations under joint progressive type II censoring schemes
In this paper, we have discussed classical and Bayesian estimation of combined parameters of two different log-logistic models under a new type of...
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Statistical inference with joint progressive censoring for two populations using power Rayleigh lifetime distribution
In this study, point and interval estimations for the power Rayleigh distribution are derived using the joint progressive type-II censoring...
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Utilizing Bayesian inference in accelerated testing models under constant stress via ordered ranked set sampling and hybrid censoring with practical validation
This research investigates the application of the ordered ranked set sampling (ORSSA) procedure in constant-stress partially accelerated life-testing...
