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Estimation of a Tax Gap in the Personal Income Tax by Means of National Accounts
Czech Republic National Accounts Personal Income Tax Tax Gap
2016/1/27
The article deals with the estimation of a tax gap incurred by devastation of a tax base and concentrates on undervaluation of incomes from an independent activity. The distortion rate was estimated b...
Usefulness of K-means Method in Detection Corporate Crisis
Assets turnover Average collection period Cluster analysis Current ratio
2016/1/27
Market situation and business environment of construction companies influence significantly decisions met by this group of entities. These decisions are reflected in financial statements, later on. Th...
Tests atternative to higher criticism for high dimensional means under sparsity and column-wise dependence
Large deviation Large p, small n Optimal detection boundary Sparse signal Thresholding Weak dependence
2016/1/20
We consider two alternative tests to the Higher Criticism test of Donoho and Jin (2004) for high dimensional means under the spar-sity of the non-zero means for sub-Gaussian distributed data with unkn...
Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets
Distribution of relief subsidies treatment malaria mosquito nets
2015/7/17
Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets.
A Batch Means Methodology for Estimation of a Nonlinear Function of a Steady- State Mean
Simulation Output Analysis Steady-State Simulation Nonlinear Estimation Batch Means Jack- knifing
2015/7/8
We study the estimation of steady-state performance measures from an Ad-valued stochastic process Y = {Y(t): t≥0} representing the output of a simulation. In many applications, we may be interested in...
Asymptotic Validity of Batch Means Steady-State Confidence Intervals
Asymptotic Validity Batch Means Steady-State Confidence Intervals
2015/7/6
Themethod of batch means is a widely applied procedure for constructing steady-state confidence intervals. The traditional theoretical support for the method of batch means has rested on the assumptio...
Computing Bayesian Means Using Simulation
Bayesian simulation nested simulation independent sampling
2015/7/6
This paper is concerned with the estimation of alpha = Er(Z), where Z is a random vector and the function values r(z) must be evaluated using simulation. Estimation problems of this form arise in the ...
Generalizing k-means for an arbitrary distance matrix
Generalizing k-means an arbitrary distance matrix
2013/5/2
The original k-means clustering method works only if the exact vectors representing the data points are known. Therefore calculating the distances from the centroids needs vector operations, since the...
基于模糊核c-means 算法的位置指纹聚类
区间值数据 核方法 模糊c-means
2014/10/9
提出一种针对位置指纹的模糊核c-means 聚类算法. 将位置指纹归结为一种服从正态分布的区间值数据以反映接入点信号强度采样值的不确定性, 通过区间中值和大小确定的正态分布函数将位置指纹映射为特征空间中的一点, 并在该特征空间中采用基于核方法的模糊c-means 算法对其进行聚类. 通过ZigBee 定位实验表明, 该方法对于位置指纹的分类效果明显好于基于信号强度平均值的c-means 聚类, 可...
基于模糊核c-means 算法的位置指纹聚类
区间值数据 核方法 模糊c-means
2014/10/11
提出一种针对位置指纹的模糊核c-means 聚类算法. 将位置指纹归结为一种服从正态分布的区间值数据以反映接入点信号强度采样值的不确定性, 通过区间中值和大小确定的正态分布函数将位置指纹映射为特征空间中的一点, 并在该特征空间中采用基于核方法的模糊c-means 算法对其进行聚类. 通过ZigBee 定位实验表明, 该方法对于位置指纹的分类效果明显好于基于信号强度平均值的c-means 聚类, 可...
集成kmeans聚类和有监督特征选择的混合式协同过滤推荐
有监督特征选择 协同过滤推荐 k-means聚类
2013/10/24
为了提高协同过滤推荐质量，提出了集成kmeans聚类和有监督特征选择的混合式协同过滤推荐框架和KDICF算法。利用有监督特征选择的方法和技术，找出与待预测项目强相关的项目集，将高维稀疏的用户项目评分数据集转为低维用户项目评分数据集，并运用kmeans聚类，在此基础上寻找近邻用户对目标用户未评分项目进行评分预测。实验结果表明，混合式KDICF算法有着优异的性能。
We consider the problem of calibration and the GREG method as suggested and studied in Deville and Sarndal (1992). We show that a GREG type estimator is typically not minimal variance unbiased estimat...
On the posterior distribution of classes of random means
Bayesian nonparametrics completely random measures means of randomprobability measures normalized random measures Poisson–Dirichlet process
2010/3/10
The study of properties of mean functionals of random probability measures is an important
area of research in the theory of Bayesian nonparametric statistics. Many results are now known
for random ...
Inference based on Procrustes means for the 3D shape of tree boles and mildly rank-deficient diffusion tensors
Shape Spaces Extrinsic Mean Mean Location GeneralProcrustes Analysis Weighted Procrustes Mean Strong Law of Large Numbers
2010/3/10
A method for inference on cylindricity of tree boles based on 3D
Kendall shapes is presented. This method employs Procrustes means
which are highly popular in the shape community. While for extrinsi...
Mass Media Mobilization as a Means of Legal Reform in China
democratization media law labor China
2009/11/13
Mass Media Mobilization as a Means of Legal Reform in China.