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Cluster Analysis for Correlated Multivariate Normal and Binary Data

Description:

Cluster Analysis deals with classifying a sample of multivariate measurements into different categories. In this dissertation we study the effect of the correlation structure of the data on the performance of a clustering method. We begin with the analysis of two-component normal mixture models and then proceed to cluster analysis...

Keyword:

Data mining, Clustering, K-means algorithm, Mixture model, and EM algorithm

Subject:

Industrial Engineering and Management Sciences

Creator:

Dingxi Qiu

Owner:

Scholarly Digital Publishing

Date Uploaded:

08/13/2018

Date Modified:

08/13/2018

Date Created:

2007-06-26

Resource Type:

Dissertation
Improved Estimation of the Proportion of True Null Hypotheses with Applications to Adaptive Control of FDR and Drug Screening

Description:

Many methods have been proposed for estimating the number, $m_0$ (or the proportion, $\pi_0$), of the true null hypotheses for adaptively controlling a type I error rate (e.g., the false discovery rate or FDR) using a multiple test procedure. Most of these methods eliminate ``significantly" non-null $p$-values. Then $m_0$ is...

Keyword:

False discovery rate (FDR), Long-run FDR ($l$-FDR), Mixture model, Bias-correction, $p$-values, and EM algorithm

Subject:

Statistics

Creator:

Jiaxiao Shi

Owner:

Scholarly Digital Publishing

Date Uploaded:

05/09/2018

Date Modified:

05/09/2018

Date Created:

2006-10-10

Resource Type:

Dissertation

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Cluster Analysis for Correlated Multivariate Normal and Binary Data

Improved Estimation of the Proportion of True Null Hypotheses with Applications to Adaptive Control of FDR and Drug Screening

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