Power of Control Chart for the Ratio of Two Poisson Distributions Under Misclassification Error

  • Anwer Khurshid University of Nizwa
  • Ashit B Chakraborty Department of Statistics St. Anthony's College, Shillong, Meghalaya, India

Abstract

The effects of misclassification on the performance of control charts have been reconnoitered by several authors. Measurement error variability has uncertainty which can be from several sources. In this paper, we study the effect of the two sources of variability on the power characteristics of control chart and obtain the values of average run length () for the ratio of two Poisson distributions as studied by Sahai and Khurshid [30]. Expression of the power of control chart for variable sample size under standardized normal variate for ratio of two Poisson distributions is also derived.


 


Keywords: Measurement error, ratio of Poisson distribution, Average Run Length (), power.

Author Biography

Ashit B Chakraborty, Department of Statistics St. Anthony's College, Shillong, Meghalaya, India

Associate Professor and Head Department of Statistics

Published
2020-01-08
How to Cite
KHURSHID, Anwer; CHAKRABORTY, Ashit B. Power of Control Chart for the Ratio of Two Poisson Distributions Under Misclassification Error. Yugoslav Journal of Operations Research, [S.l.], v. 30, n. 2, p. 199-208, jan. 2020. ISSN 2334-6043. Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/622>. Date accessed: 22 nov. 2024.
Citation Formats
Issue
Vol 30 No 2 (2020)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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