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Change Point Detection in Linear Failure Rate Distribution Under Random Censorship
In this paper, we develop a procedure for change point detection problem in the linear failure rate (LFR) distribution for random censored data. The...
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A New Lifetime Model for Non-Monotone Failure Rate Data
Lifetime study of organisms and systems plays an important role in reliability theory and survival analysis. Lifetime models with a non-monotone...
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Degradation and Failure Mechanisms of Complex Systems: Principles
A cyber–physical–human complex system failure prevents the accomplishment of the system’s intended function. The failure of a complex system could be...
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Regression analysis of doubly censored failure time data with ancillary information
Doubly censored failure time data occur in many areas and for the situation, the failure time of interest usually represents the elapsed time between...
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Bounds of expectations of order statistics for distributions possessing monotone reversed failure rates
In the literature, the sharp positive upper mean-variance bounds on the expectations of order statistics based on independent identically distributed...
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On the targets of inference with multivariate failure time data
There are several different topics that can be addressed with multivariate failure time regression data. Data analysis methods are needed that are...
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Semiparametric regression analysis of window-observation recurrent event data with multiple causes of failure
This article deals with the regression analysis of recurrent event data with multiple causes of failure that are collected in disconnected...
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Use of Additional Information for Current Status Data with Two Competing Risks and Missing Failure Types
In practice, the failure type for some subjects may be missing or uncertain in competing risks data. Analysis of such uncertain failure type in...
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Case-cohort studies for clustered failure time data with a cure fraction
In epidemiological studies, the case-cohort design is a widely used method for their outstanding cost-effectiveness. Most of the existing works for...
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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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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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Jackknife empirical likelihood ratio test for testing mean time to failure order
In this paper, we propose a new non-parametric test for testing mean time to failure order. The asymptotic properties of the proposed test statistic...
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Semiparametric predictive inference for failure data using first-hitting-time threshold regression
The progression of disease for an individual can be described mathematically as a stochastic process. The individual experiences a failure event when...
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A general multivariate lifetime model with a multivariate additive process as conditional hazard rate increment process
The object of the present paper is the study of the joint lifetime of d components subject to a common stressful external environment. Out of the...
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Joint modeling of generalized scale-change models for recurrent event and failure time data
Recurrent event and failure time data arise frequently in many clinical and observational studies. In this article, we propose a joint modeling of...
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Modeling Negatively Skewed Survival Data in Accelerated Failure Time and Correlated Frailty Models
Negatively skewed survival data arise in public health and in statistical research. Commonly used distributions are not always well suited to this...
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Variable selection for semiparametric accelerated failure time models with nonignorable missing data
The regularization approach for variable selection was well developed for semiparametric accelerated failure time (AFT) models, where the response...
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Predicting future failure times by using quantile regression
The purpose of the paper is to study how to predict the future failure times in a sample from the early failures (type II censored data). We consider...
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Inference of Competing Risks Model with Partially Observed Failure Causes Based on Minimum Ranked Set Sampling
Ranked set sampling (RSS) provides an efficient and flexible approach to collect failure information from perspectives of saving time and cost. In...
