Detecting change points in the stress-strength reliability \(P(X < Y)\)
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Publication:6574597
DOI10.1002/asmb.2413MaRDI QIDQ6574597
Philip L. H. Yu, Hang Xu, Mayer Alvo
Publication date: 18 July 2024
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Cites Work
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- Detection of multiple changes in a sequence of dependent variables
- Using penalized contrasts for the change-point problem
- DISCO analysis: A nonparametric extension of analysis of variance
- Consistencies and rates of convergence of jump-penalized least squares estimators
- Estimation of system reliability in Brownian stress-strength models based on sample paths
- Bayesian estimation of system reliability in Brownian stress-strength models
- Parametric embedding of nonparametric inference problems
- Nonparametric maximum likelihood approach to multiple change-point problems
- Recent advances on Bayesian inference for \(P(X < Y)\)
- Bridging the gap: A likelihood function approach for the analysis of ranking data
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- A semiparametric changepoint model
- Multiple changepoint fitting via quasilikelihood, with application to DNA sequence segmentation
- A Cluster Analysis Method for Grouping Means in the Analysis of Variance
- Optimal Detection of Changepoints With a Linear Computational Cost
- A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
- Circular binary segmentation for the analysis of array-based DNA copy number data
- Estimating and Testing Structural Changes in Multivariate Regressions
- Inference about the change-point in a sequence of random variables
- Inference for reliability and stress-strength for a scaled Burr type \(X\) distribution
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