EXACT DENSITY OF W CLASSIFICATION STATISTIC BASED ON UNMATCHED TRAINING SAMPLE FROM CORRELATED POPULATIONS

机译：基于相关人群未训练样本的W分类统计的精确密度

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A unit is to be classified into one of two correlated homoscedastic normal populations by W classification statistic. The two populations are like two different states of a disease. A sample unit can be observed in both the states (populations). The observations made on the same unit in the two populations are correlated. W is based on an unmatched training sample where N sample units are observed in both the populations and N_i - N units are observed in population i,i = 1,2. The exact density of W in such set up is derived for unknown means and common dispersion matrix where the correlation linking the populations is known or unknown. Simulated density of W is plotted and probability of correct classification (PCC) is evaluated using simulation.

机译：根据W分类统计，一个单位将被分类为两个相关的同调常态人口之一。这两个人群就像是两种不同的疾病状态。可以在两种状态（人口）中观察到样本单位。在两个总体中对同一单位进行的观察是相关的。 W基于不匹配的训练样本，其中在总体中均观察到N个样本单位，在总体i，i = 1,2中观察到N_i-N个单位。对于未知均值和公共色散矩阵，可以得出这种设置中W的确切密度，其中链接总体的相关性是已知的或未知的。绘制出W的模拟密度，并使用模拟评估正确分类（PCC）的概率。

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来源
《International Triennial Calcutta Symposium on Probability and Statistics; 20031228-31; Calcutta(IN)》|2003年|P.305-324|共20页
会议地点 Calcutta(IN)
作者
Subhadip Bandyopadhyay; Shibdas Bandyopadhyay;
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作者单位

Indian Statistical Institute, Kolkata, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
W classification statistic; correlated populations; unmatched training sample; exact density;

机译：W分类统计；相关人群；训练样本不匹配；精确密度;

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EXACT DENSITY OF W CLASSIFICATION STATISTIC BASED ON UNMATCHED TRAINING SAMPLE FROM CORRELATED POPULATIONS

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