Process capability indices in normal distribution with the presence of outliers

DOI10.1080/02664763.2020.1796934OpenAlexW3045234363MaRDI QIDQ5861426

M. Jabbari Nooghabi

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1796934

zbMATH Keywords

outliersnormal distributionmaximum likelihood estimatormoment estimatorprocess capability indicesrobust method

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bootstrap, jackknife and other resampling methods (62F40) Applications of statistics (62Pxx)

Cites Work

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• Efficient estimation in the Pareto distribution with the presence of outliers
• Simultaneous statistical inference. 2nd ed
• The efficacy of process capability indices using median absolute deviation and their bootstrap confidence intervals
• On entropy of a Pareto distribution in the presence of outliers
• Rejection of Outliers
• Bootstrap confidence interval estimates of c_pk: an introduction
• Bootstrap confidence intervals of generalized process capability indexC_pykusing different methods of estimation
• A new generation of process capability indices
• On the generalized process capability under simple and mixture models
• A Bayesian approach to some outlier problems
• Sample Criteria for Testing Outlying Observations

Related Items (4)

Unnamed Item ⋮ Measuring quality by process capability indices and the effects of non-normality ⋮ Fuzzy evaluation of product reliability based on ratio-based lifetime performance index ⋮ Editorial to special issue V WCDANM 2018

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