Testing unilateral versus bilateral normal contamination

Richard Charnigo; Qian Fan; Douglas Bittel; Hongying Dai

doi:10.1016/j.spl.2012.09.015

Testing unilateral versus bilateral normal contamination

Richard Charnigo
, Qian Fan
, Douglas Bittel
, Hongying Dai

Research output: Contribution to journal › Article › peer-review

Abstract

This letter proposes modeling a large collection of test statistics, such as may arise in microarray data analysis, using a mixture of three normal distributions: one with mean zero, one with nonnegative mean, and one with nonpositive mean. A convenient procedure is established for testing whether this three-component mixture may be reduced to a two-component mixture with one nonzero component mean.

Original language	English
Pages (from-to)	163-167
Number of pages	5
Journal	Statistics and Probability Letters
Volume	83
Issue number	1
DOIs	https://doi.org/10.1016/j.spl.2012.09.015
State	Published - Jan 2013

Keywords

Down's syndrome
Gene expression
Microarray
Mixture model

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1016/j.spl.2012.09.015

Cite this

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AU - Bittel, Douglas

AU - Dai, Hongying

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AB - This letter proposes modeling a large collection of test statistics, such as may arise in microarray data analysis, using a mixture of three normal distributions: one with mean zero, one with nonnegative mean, and one with nonpositive mean. A convenient procedure is established for testing whether this three-component mixture may be reduced to a two-component mixture with one nonzero component mean.

KW - Down's syndrome

KW - Gene expression

KW - Microarray

KW - Mixture model

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DO - 10.1016/j.spl.2012.09.015

M3 - Article

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SP - 163

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JO - Statistics and Probability Letters

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IS - 1

ER -

Testing unilateral versus bilateral normal contamination

Abstract

Keywords

ASJC Scopus subject areas

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