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The mean difference is better than the variance (or variance) eigenvalue of the more reasonable expression of the degree of dispersion of the random variable, which is discussed in many literature has。 Also discusses to calculate the mean difference of use to the absolute value is not very conven...全部
The mean difference is better than the variance (or variance) eigenvalue of the more reasonable expression of the degree of dispersion of the random variable, which is discussed in many literature has。
Also discusses to calculate the mean difference of use to the absolute value is not very convenient in use and the theoretical analysis。
Particularly the recent papers of the Grade et al [1] is a profound demonstrates this point, the article also deduced without absolute value to calculate the average difference formula, but is not easy to analyze and use too complicated formula。
This article defines a half are poor, the calculated half are poor do not have the absolute value and very easy; while the mean difference is equal to twice the half are poor。
The combination of probability and statistics in a well-known theorem: a first-order central moments constant 0。
Combining these two points, derive a new "equilibrium theorem", from which derive new mathematical characteristic parameters, and to study their properties。
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