Bayesian Methods for Obtaining X-bar Chart: An Application on Food Quality Control

Authors

  • Ram Prasad Khatiwada Central Department of Statistics Tribhuvan University, Kathmandu

DOI:

https://doi.org/10.3126/jist.v19i2.13861

Keywords:

control chart, uniform prior, posterior density, normal observations, predictive

Abstract

This article is about the Bayesian methods of constructing control chart for process mean. The control chart for mean based on the use of normal prior distribution seems to be robust for normal observations. The concussion is derived from an experiment of a set of real dada of the weights of a food product filled in pouches. The results were also supported by the simulated data.

Journal of Institute of Science and Technology, 2014, 19(2): 100-104

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Published

2015-11-09

How to Cite

Khatiwada, R. P. (2015). Bayesian Methods for Obtaining X-bar Chart: An Application on Food Quality Control. Journal of Institute of Science and Technology, 19(2), 100–104. https://doi.org/10.3126/jist.v19i2.13861

Issue

Vol. 19 No. 2 (2014)

Section

Research Articles

License

The views and interpretations in this journal are those of the author(s). They are not attributable to the Institute of Science and Technology, T.U. and do not imply the expression of any opinion concerning the legal status of any country, territory, city, area of its authorities, or concerning the delimitation of its frontiers of boundaries.

The copyright of the articles is held by the Institute of Science and Technology, T.U.