Title : ( An entropic structure in capability indices )
Authors: Seyedeh Azadeh Fallah Mortezanejad , Gholam Reza Mohtashami Borzadaran , Bahram Sadeghpour Gildeh ,Access to full-text not allowed by authors
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.
Keywords
Capability index; maximum entropy; normal distribution; production process@article{paperid:1071645,
author = {Fallah Mortezanejad, Seyedeh Azadeh and Mohtashami Borzadaran, Gholam Reza and Sadeghpour Gildeh, Bahram},
title = {An entropic structure in capability indices},
journal = {Communications in Statistics - Theory and Methods},
year = {2018},
volume = {47},
month = {November},
issn = {0361-0926},
pages = {1--11},
numpages = {10},
keywords = {Capability index; maximum
entropy; normal
distribution; production
process},
}
%0 Journal Article
%T An entropic structure in capability indices
%A Fallah Mortezanejad, Seyedeh Azadeh
%A Mohtashami Borzadaran, Gholam Reza
%A Sadeghpour Gildeh, Bahram
%J Communications in Statistics - Theory and Methods
%@ 0361-0926
%D 2018