توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A Simple Transformation Method in Skewness Reduction
نویسنده(ها): ، ،
اطلاعات انتشار: International Journal of Engineering، بيست و چهارم،شماره۲، June ۲۰۱۱، سال
تعداد صفحات: ۷
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 [1] is extended to transform right and left skewed distributions to nearly normal. The value of the root\power is explored such that the skewness of the transformed data becomes almost zero with an acceptable error. The proposed method is then compared to the well–known and complicated Box, et al [2] transformation method for different left and right skewed distributions using Monte Carlo simulation. While the proposed procedure is easy to understand and to implement, the results of the simulation study show that it works as good as the Box–Cox method.

۲A CLOSED–FORM FORMULA FOR THE FAIR ALLOCATION OF GAINS IN COOPERATIVE N–PERSON GAMES
اطلاعات انتشار: International Journal of Engineering، بيست و پنجم،شماره۴، Dec۲۰۱۲ ، سال
تعداد صفحات: ۸
This paper provides a closed–form optimal solution to the multi–objective model of the fair allocation of gains obtained by cooperation among all players. The optimality of the proposed solution is first proved. Then, the properties of the proposed solution are investigated. At the end, a numerical example in inventory control environment is given to demonstrate the application and to compare the results with the ones of an existing method.
نمایش نتایج ۱ تا ۲ از میان ۲ نتیجه