Mean, median or something else

Non parametric inferential statistics was used to guide the numerical optimization study to search for the optimum result in this article. The technique was demonstrated in a case study and a significant improved predictive model was formulated with 4% less residual sum of squares (RSS) than the med...

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Bibliographic Details
Main Authors: Ling, L., Yusop, Z.
Format: Article
Language:English
Published: Asian Research Publishing Network 2016
Subjects:
Online Access:http://eprints.utm.my/72265/
http://eprints.utm.my/72265/
http://eprints.utm.my/72265/1/ZulkifliYusop2016_Mean%2CMedianorSomethingElse.pdf
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Summary:Non parametric inferential statistics was used to guide the numerical optimization study to search for the optimum result in this article. The technique was demonstrated in a case study and a significant improved predictive model was formulated with 4% less residual sum of squares (RSS) than the median model, 20% less than the mean model and 79% less than a benchmarked empirical model. The methodology proposed herewith addressed the selection dilemma between mean and median. It identified an optimum value and formulated a better predictive model than those by either mean or median.