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A Nifty mean chart method based on median ranked set sampling design

  • Derya KaragözEmail author
  • Nursel Koyuncu
Methodologies and Application
  • 12 Downloads

Abstract

In the case of contamination for skewed distributions, the modified Shewhart, modified weighted variance, and modified skewness correction methods are newly introduced by Karagöz (Hacet J Math Stat 47(1):223–242, 2018). In this study, we propose to modify these methods by considering simple random sampling (SRS), ranked set sampling (RSS) and median ranked set sampling (MRSS) designs under the contaminated type I Marshall–Olkin bivariate Weibull and lognormal distributions. These bivariate distributions are chosen since they can represent a wide variety of shapes from nearly symmetric to highly skewed. We evaluate the performance of proposed modified methods based on different ranked set sampling designs by using Monte Carlo Simulation. The type I risks of \({\bar{X}}\) charts for existing and newly proposed modified methods by using SRS, RSS and MRSS designs in the case of contamination for these distributions are obtained via simulation study. The proposed modified methods using RSS and MRSS designs for the \({\bar{X}}\) chart can be a favorable substitute in process monitoring when the distribution is highly skewed and contaminated.

Keywords

Skewed bivariate distributions Big data Mean charts Median ranked set sampling 

Notes

Acknowledgements

This study was not funded.

Compliance with ethical standards

Conflict of interest

Derya Karagöz declares that she has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of StatisticsHacettepe UniversityAnkaraTurkey

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