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Box dimension of interpolations of self-similar processes with stationary increments
Fractal interpolation interpolation dimension box dimension self-similar process
2009/9/21
We prove that under a general condition interpolation
dimensions of H-sssi process converge in probabiIity to 2-H. The
result can be applied to a wide class of H-sssi processes which includes
fract...
BOX PLOT--描述统计的一个简便工具
BOX PLOT 描述统计 简便工具
2009/6/29
随着统计学的发展演变,许多新兴的统计方法和工具应运而生,给人们带来诸多方便。Box plot便是描述统计大家族的一名成员,它没有数理统计公式那般深奥难懂,却能以一个简单的组合图形将数据批的形状直观地表现出来,使人洞悉眼花缭乱的数据中隐含的结构信息。Box plot在一般的统计软件(如SAS、SPSS等)中可以比较容易地绘出,使我们可以方便地利用box plot分析数据批的分布形状,并进行数据批间的...
We show that the spectral gap for the interchange process (and the symmetric exclusion process) in a d-dimensional box of side length L is asymptotic to π2/L2. This gives more evidence in favor of Ald...
A KNOWLEDGE-BASED VARIABLE SELECTION METHOD FOR BOX-COX TRANSFORMATION
Regression analysis Box-Cox transformation variable selection j-th best subset problem variable classification meaningful subset practically best regression equation intellectual statistical system OEPP
2009/3/10
In actual applications of regression analysis, users face two difficult problems. One is to find the most appropriate functional form, while the other is to search for the best subset derivable from a...
A Modified Box-Cox Transformation in the Multivariate ARMA Model
Box-Cox transformation limit theorems Monte-Carlo Wald test multivariate ARMA model ratio data transformation-linear process
2009/3/5
The Box-Cox transformation has been used as a simple method of transforming dependent variable in ordinary-linear regression circumstances for improving the Gaussian-likelihood fit and making the dist...