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Technometrics Volume 23, 1981 - Issue 1
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Original Articles

Iterative Construction of Nearly Balanced Assignments I: Categorical Covariates

Chien-Fu Wu Department of Statistics, University of Wisconsin, Madison Madison, WI, 53706
Pages 37-44 | Published online: 23 Mar 2012

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Samrat Hore, Anup Dewanji & Aditya Chatterjee. (2020) Ensuring balance through optimal allocation of experimental units with known categorical covariates into two treatments. Statistics 54:3, pages 559-576.
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Rita SahaRay & Ganesh Dutta. (2019) Optimal and efficient treatment control design in the heteroscedastic one-way layout with covariates. Statistics 53:2, pages 459-469.
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Shu Geng & S.K. Perng. (1986) Homogeneous designs based on pretreatment information. Communications in Statistics - Theory and Methods 15:1, pages 59-72.
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DavidM. Steinberg & WilliamG. Hunter. (1984) Experimental Design: Review and Comment. Technometrics 26:2, pages 71-97.
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Articles from other publishers (8)

Premadhis Das, Ganesh Dutta, Nripes Kumar Mandal & Bikas Kumar SinhaPremadhis Das, Ganesh Dutta, Nripes Kumar Mandal & Bikas Kumar Sinha. 2015. Optimal Covariate Designs. Optimal Covariate Designs 1 11 .
Ching‐Shui Cheng. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Ganesh Dutta, Premadhis Das & Nripes K. Mandal. (2010) Optimum covariate designs in a binary proper equi-replicate block design set-up. Discrete Mathematics 310:5, pages 1037-1049.
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Matthew N. McCall & Rafael A. Irizarry. (2008) Consolidated strategy for the analysis of microarray spike-in data. Nucleic Acids Research 36:17, pages e108-e108.
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Ching‐Shui Cheng. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Ching‐Shui Cheng. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Erkki P. Liski, Nripes K. Mandal, Kirti R. Shah & Bikas K. SinhaErkki P. Liski, Nripes K. Mandal, Kirti R. Shah & Bikas K. Sinha. 2002. Topics in Optimal Design. Topics in Optimal Design 71 93 .
C.F.J. Wu & Yuan Ding. (1998) Construction of response surface designs for qualitative and quantitative factors. Journal of Statistical Planning and Inference 71:1-2, pages 331-348.
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