Analysis of sequential quality improvement plans to obtain confidence bounds
DOI10.1007/s42519-021-00185-0zbMath1477.62385OpenAlexW3179728937MaRDI QIDQ2241488
Bimal K. Roy, Anup Dewanji, Vignesh T. Subrahmaniam
Publication date: 9 November 2021
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42519-021-00185-0
parametric bootstrapGaussian copulapool adjacent violators algorithmaverage sizefailure time distributionminimum coverage probabilityisotonic constraintsreliability improvement
Parametric tolerance and confidence regions (62F25) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of statistics in engineering and industry; control charts (62P30) Bootstrap, jackknife and other resampling methods (62F40) Sequential statistical design (62L05) Reliability and life testing (62N05)
Cites Work
- Consistency and asymptotic normality of the estimated effective doses in bioassay
- Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
- An introduction to copulas. Properties and applications
- Statistical methods in software engineering. Reliability and risk
- Bayesian Computation for Nonhomogeneous Poisson Processes in Software Reliability
- An Empirical Distribution Function for Sampling with Incomplete Information
- Estimating ordered binomial proportions with the use of group testing
- Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space
- Maximum likelihood estimation of ordered multinomial parameters
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