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Communications in Statistics - Theory and Methods Volume 35, 2006 - Issue 8
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DESIGN OF EXPERIMENTS

Balanced Factorial Designs for cDNA Microarray Experiments

Sudhir Gupta Division of Statistics, Northern Illinois University, DeKalb, Illinois, USACorrespondence[email protected]
Pages 1469-1476 | Received 25 Mar 2005, Accepted 02 Dec 2005, Published online: 15 Feb 2007

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Siraj Muneer, Javid Shabbir & Alamgir Khalil. (2017) Estimation of finite population mean in simple random sampling and stratified random sampling using two auxiliary variables. Communications in Statistics - Theory and Methods 46:5, pages 2181-2192.
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Articles from other publishers (5)

Janet Godolphin. (2018) Designs with blocks of size two and applications to microarray experiments. The Annals of Statistics 46:6A.
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Sukanta Dash, Rajender Parsad & V. K. Gupta. (2013) Row–Column Designs for 2 n factorial 2-Colour Microarray Experiments for Estimation of Main Effects and Two-Factor Interactions with Orthogonal Parameterization. Agricultural Research 2:2, pages 172-182.
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A. H. M. Mahbub Latif, Frank Bretz & Edgar Brunner. (2009) Robustness considerations in selecting efficient two-color microarray designs. Bioinformatics 25:18, pages 2355-2361.
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Robert J. Tempelman. (2008) Statistical Analysis of Efficient Unbalanced Factorial Designs for Two-Color Microarray Experiments. International Journal of Plant Genomics 2008, pages 1-16.
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Tathagata Banerjee & Rahul Mukerjee. (2008) Optimal factorial designs for cDNA microarray experiments. The Annals of Applied Statistics 2:1.
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