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THE RELATIONSHIP OF QUARTILE CHARACTERISTIC VALUES BETWEEN DENSITY CURVE AND DISTRIBUTION CURVE
作者姓名:樊民强  刘丽俭  张荣曾
作者单位:Fan Minqiang(Taiyuan University of Technology,Taiyuan 030024)Liu Lijian; Zhang Rongzeng (Beijing Campus,China University of Mining and Technology,Beijing 100083)
摘    要:IntroductionTheobjectofthejiggingprocessismixtureconsistofdifferentdensityanddifferentsizeofcoa1,theprin-ciplethathowthesizeinfluencesthejiggingprocessisthesamegenerallymadebythecirc1eofthecoalprepa-ration,inthejiggingprocessofunsized,thesmallerthesize,theworsetheseparationeffectis.Becausetheinfluencesofcoaldensitycompositiononthejiggingseparation,differentscholarsgetthedifferentoroppositeresults:undertheconditionthatthejiggingseparationeffectisdescribedbythedistributioncurve,thedensi-tycompos…


THE RELATIONSHIP OF QUARTILE CHARACTERISTIC VALUES BETWEEN DENSITY CURVE AND DISTRIBUTION CURVE
Fan Minqiang.THE RELATIONSHIP OF QUARTILE CHARACTERISTIC VALUES BETWEEN DENSITY CURVE AND DISTRIBUTION CURVE[J].Journal of Coal Science & Engineering(China),1998(2).
Authors:Fan Minqiang
Abstract:The characteristics of density yield curve of coal and distribution curve of products can be described with median, quartile deviation, the quartile measure of skewness and kurtosis like K. On the basis of 16 groups of coal density composition data and their jigging stratification data derived from the pilot jig, the regression analysis has been done for the relationship between the characteristic values of the density curve and the characteristic values of the distribution curve.The results show as follow: (1) The bigger the skewness of the density curve, the bigger the probable error (Ep) and imperfection (I ) are. (2) The bigger the median of density curve, the smaller the probable error or imperfection is. (3) The characteristic values of density curve have no influence on the kurtosis K of the distribution curve.
Keywords:quartile characteristic values  density curve  distribution curve
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