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http://dx.doi.org/10.5351/KJAS.2018.31.1.097

Firework plot for evaluating the impact of influential observations in multi-response surface methodology  

Kim, Sang Ik (Department of Applied Statistics, Konkuk University)
Jang, Dae-Heung (Department of Statistics, Pukyong National University)
Publication Information
The Korean Journal of Applied Statistics / v.31, no.1, 2018 , pp. 97-108 More about this Journal
Abstract
It has been routine practice in regression analysis to check the validity of the assumed model by the use of regression diagnostics tools. Outliers and influential observations often distort the regression output in an undesired manner. Jang and Anderson-Cook (Quality and Reliability Engineering International, 30, 1409-1425, 2014) proposed a graphical method (called a firework plot) so that there could be an exploratory visualization of the trace of the impact of the possible outliers and influential observations on individual regression coefficients and the overall residual sum of the squares measure. This paper further extends a graphical approach to a multi-response surface methodology problem.
Keywords
outliers; influential observations; multi-response; three-dimensional firework plot; pairwise firework plot matrix;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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