Please use this identifier to cite or link to this item:
|Title:||An information management paradigm for statistical experiments|
|Keywords:||Design of experiments|
|Citation:||Goh, T.N. (2010-07). An information management paradigm for statistical experiments. Quality and Reliability Engineering International 26 (5) : 487-494. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.1078|
|Abstract:||Optimization of engineering processes and products via statistical design of experiments is an approach well known to statisticians but still not popularly used by technical personnel. This paper sets out a pattern of reasoning that would facilitate the appreciation, on the part of non-mathematicians, of the principles and advantages of using statistical experimental design for process and product modeling and optimization. Use is made of the concepts of information transformation and conservation in a language that is familiar to those of purely technical background, leading to better understanding, acceptance and application of the efficiency and effectiveness of statistical experiments. In today's environment of the prevalence of software and hardware for statistical analysis, engineers concerned with quality and reliability would particularly benefit from such a paradigm for process and product performance improvement. Copyright © 2009 John Wiley & Sons, Ltd.|
|Source Title:||Quality and Reliability Engineering International|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 11, 2018
WEB OF SCIENCETM
checked on Jul 24, 2018
checked on Jul 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.