Content‐adjusted tolerance intervals via bootstrap calibration
J Jiao, X Zhao, W Cheng - Stat, 2022 - Wiley Online Library
Tolerance intervals (TIs) are commonly employed in numerous industries, ranging from
engineering to pharmaceuticals. However, closed‐form TIs are unavailable for most …
engineering to pharmaceuticals. However, closed‐form TIs are unavailable for most …
[HTML][HTML] Optimal lot disposition from Poisson–Lindley count data
AJ Fernández - Applied Mathematical Modelling, 2019 - Elsevier
Optimal sampling plans based on overdispersed defect counts for screening lots of outgoing
and incoming goods are derived by minimizing the required sample size. Best inspection …
and incoming goods are derived by minimizing the required sample size. Best inspection …
Equal-tailed and shortest Bayesian tolerance intervals based on exponential k-records
The problem of constructing the equal-tailed and shortest Bayesian tolerance intervals that
control percentages in both tails of the exponential distribution based on k-record values is …
control percentages in both tails of the exponential distribution based on k-record values is …
Approximate confidence and tolerance limits for the discrete Pareto distribution for characterizing extremes in count data
Statistical tolerance intervals for discrete distributions are widely employed for assessing the
magnitude of discrete characteristics of interest in applications like quality control …
magnitude of discrete characteristics of interest in applications like quality control …