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One Kind of Effective Discrete Transformation on Converting the High Growth Series into the Low Growth One

机译:一种将高增长序列转换为低增长序列的有效离散转换

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To the transformation F(a(s)) = a(s)/_(d~s), this paper brings out two kinds of ways to ascertain parameter d, one way, we let d be arithmetic average of class ration in verse, namely d_1= 1/(n-1)((y~((0))(2))/(y~((0))(1)))+(y~((0))(3))/(y~((0))(2))+(y~((0))(4))/(y~((0))(3))+…+(y~((0))(n-1))/(y~((0))(n-2))+ (y~((0))(n))/(y~((0))(n-1))). The other way, we let d be geometric average of class ration inverse, namely d_2= ((y~((0))(n))/(y~((0))(0)))~(1/(n-1)). Through the close theory testifying, we find that the model given by this paper has white exponential law coincidence property, that is to say, if we build the model to the normal index, the result has not model error. At the same time, this paper points out, the request d > 1 is not appropriate to monotone decreasing series; even precision of model will decrease.
机译:对于变换F(a(s))= a(s)/ _(d〜s),本文提出了两种确定参数d的方法,一种是让d为经文中类比的算术平均值。 ,即d_1 = 1 /(n-1)((y〜((0))(2))/(y〜((0))(1)))+(y〜((0))(3) )/(y〜((0))(2))+(y〜((0))(4))/(y〜((0))(3))+ ... +(y〜((0) )(n-1))/(y〜((0))(n-2))+(y〜((0))(n))/(y〜((0))(n-1)) )。换句话说,我们将d设为类别比率逆的几何平均值,即d_2 =((y〜((0))(n))/(y〜((0))(0)))〜(1 /( n-1))。通过严密的理论证明,发现本文给出的模型具有白色指数规律的重合性,也就是说,如果将模型建立为正态指数,则结果不会出现模型误差。同时,本文指出,d> 1的要求不适用于单调递减级数。甚至模型的精度也会降低。

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