A Simple Transformation Method in Skewness Reduction
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 24، شماره: 8
سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 116
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شناسه ملی سند علمی:
JR_IJE-24-8_007
تاریخ نمایه سازی: 17 بهمن 1400
چکیده مقاله:
Statistical analysis of non-normal data is usually more complicated than that for normaldistribution. In this paper, a simple root/power transformation technique developed by Niaki, et al [۱]is extended to transform right and left skewed distributions to nearly normal. The value of theroot/power is explored such that the skewness of the transformed data becomes almost zero with anacceptable error. The proposed method is then compared to the well-known and complicated Box, etal [۲] transformation method for different left and right skewed distributions using Monte Carlosimulation. While the proposed procedure is easy to understand and to implement, the results of thesimulation study show that it works as good as the Box-Cox method.
کلیدواژه ها:
نویسندگان
S.E. Seyedan
Industrial Engineering, Sharif University of Technology
S.T.A. Niaki
Industrial Engineering, Sharif University of Technology
B. Abbasi
School of Mathematical and Geospatial Sciences, RMIT University