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Article: Statistical data validation methods for large cheese plant database
- Article from:
- Journal of Dairy Science
- Article date:
- September 1, 2002
- Author:
CopyrightCopyright American Dairy Science Association Sep 2002. Provided by ProQuest LLC. (Hide copyright information)
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ABSTRACT
Production data of the cheesemaking process are used to monitor milk fat and protein recoveries in cheese, cheese yield, and composition and eventually to predict these parameters. Due to the large impact of these factors on cheese quality and plant profitability, it is very important to use reliable data for analysis, modeling, and control of the process. This paper tested six methods for detecting erroneous data in industrial cheesemaking databases. The data analyzed came from 4 yr of stirred-curd Cheddar cheese production in an industrial cheesemaking facility, comprising over 10,000 vats. Single vat outliers were detected using a simple statistical criterion of x (overscored) ...