Description: 使用INTEL矢量统计类库的程序,包括以下功能:
Raw and central moments up to 4th order
Kurtosis and Skewness
Variation Coefficient
Quantiles and Order Statistics
Minimum and Maximum
Variance-Covariance/Correlation matrix
Pooled/Group Variance-Covariance/Correlation Matrix and Mean
Partial Variance-Covariance/Correlation matrix
Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers-INTEL vector statistical library use procedures, including the following features: Raw and central moments up to 4th order Kurtosis and Skewness Variation Coefficient Quantiles and Order Statistics Minimum and Maximum Variance-Covariance/Correlation matrix Pooled/Group Variance-Covariance/Correlation Matrix and Mean Partial Variance-Covariance/Correlation matrix Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers Platform: |
Size: 114688 |
Author:mktresearch |
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Description: a review paper named signal processing with higher order statistics. this paper useful for term project in signal processing. the main focus is on extension of well known first and second moments,i.e., mean and variance to higher order moments which allow more advance techniques for signal processing. Platform: |
Size: 583680 |
Author:sadfloor |
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Description: 书籍源码: Financial Risk Modelling and Portfolio Optimisation with R
ch10. Portfolio simulation EX1-5
Data generation, Function for estimating moments, Estimates for data processes, Minimum-variance optimisations,Descriptive statistics of returns
-Book example: Financial Risk Modelling and Portfolio Optimisation with R
ch10. Portfolio simulation EX1-5
Data generation, Function for estimating moments, Estimates for data processes, Minimum-variance optimisations,Descriptive statistics of returns
Platform: |
Size: 2048 |
Author:Yu Wang |
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Description: 3.Shape Descriptors
Centroids (Center of Mass)
3.2 Statistical moments:
Useful for describing the shape of boundary segments (or other curves)
Suitable for describing the shape of convex deficiencies
The histogram of the function (segment curve) can also be used for calculating moments
2nd moment gives spread around mean (variance)
3rd moment gives symmetry around mean (skewness)
-3.Shape Descriptors
Centroids (Center of Mass)
3.2 Statistical moments:
Useful for describing the shape of boundary segments (or other curves)
Suitable for describing the shape of convex deficiencies
The histogram of the function (segment curve) can also be used for calculating moments
2nd moment gives spread around mean (variance)
3rd moment gives symmetry around mean (skewness)
Platform: |
Size: 2048 |
Author:mohammed |
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Description: 颜色矩是一种简单有效的颜色特征表示方法，有一阶矩(均值,mean)、二阶矩(方差,viarance)和三阶矩(斜度,skewness)等，由于颜色信息主要分布于低阶矩中，所以用一阶矩，二阶矩和三阶矩足以表达图像的颜色分布，颜色矩已证明可有效地表示图像中的颜色分布。本代码很好的实现了对图片颜色矩的提取，并有详细的注释。(Color moment is said a simple and effective method of color feature, a moment (mean, mean), the two order moment (variance, viarance) and three moments (slope, skewness), because the color information is mainly distributed in the low order moment, so for a moment, the two and three order moments moment to express the image color distribution, color moments have been shown to be effective for representation of color distribution. This code is very good to achieve the color of the image extraction of the moment, and detailed notes.) Platform: |
Size: 17408 |
Author:蔓延而过
|
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Description: Jondeau 、Leon 等提出自回归条件方差—偏度—峰度模型(GARCHSK)，用于同时描述收益率二阶矩、三阶矩和四阶矩的时变特征。此文件为该模型代码。(Jondeau, Leon et al. Proposed an autoregressive conditional variance-skewness-kurtosis model (GARCHSK), which was used to describe the time-varying characteristics of the second, third, and fourth moments of the yield simultaneously. This file is the model code.) Platform: |
Size: 4096 |
Author:陈丹琳 |
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Search - variance moments