2018
DOI: 10.1063/1.5044002
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Statistical analysis of vehicle driver behaviors

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Cited by 2 publications
(2 citation statements)
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“…Multiple Correspondence Analysis (MCA) is a multivariable statistical method, to describe, explore, summarize and visualize the results in two or more dimentions. (Saracli and Gazeloğlu, 2018;Blasius and Greenacre, 2014). Karagöz Ş., Saraçlı S., Dinç H. & Tunca B.…”
Section: Discussionmentioning
confidence: 99%
“…Multiple Correspondence Analysis (MCA) is a multivariable statistical method, to describe, explore, summarize and visualize the results in two or more dimentions. (Saracli and Gazeloğlu, 2018;Blasius and Greenacre, 2014). Karagöz Ş., Saraçlı S., Dinç H. & Tunca B.…”
Section: Discussionmentioning
confidence: 99%
“…This analysis follows a stepwise approach, initially identifying the most significant predictor and then subdividing the data based on this predictor. Each subgroup is then independently re-analyzed to further subdivide and analyze the data (Saraçlı & Gazeloğlu, 2018). The type of each predictor determines the permissible groupings of its categories to construct the contingency table with the highest chi-square test significance (Kass, 1980).…”
Section: Methodsmentioning
confidence: 99%