An entropic structure in capability indices

Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran and Bahram Sadeghpour Gildeh

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 23, 5911-5921

Abstract: Analysis capability indices for symmetric process in normal case is obtained via maximum entropy approach of distribution function of the data. In view of it, we have perused on production processes to be in statistical control. Generally a process is capable based on capability indices when its reasonable index was more than a known threshold value. Thus by conditioning on indices, the most general distribution is found out whose parameters can be approximated by using the data of process. Also analysis via Kullback-Leibler information measure based on the above arguments is obtained in the last part of the paper.

Date: 2019
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DOI: 10.1080/03610926.2018.1524910

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