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Communications in Statistics - Theory and Methods Volume 41, 2012 - Issue 20
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Original Articles

Computer-Generated Change-Over Designs for Correlated Observations

Subrata Kumar Satpati Indian Agricultural Statistics Research Institute, New Delhi, India
,
V. K. Gupta Indian Agricultural Statistics Research Institute, New Delhi, India
,
Rajender Parsad Indian Agricultural Statistics Research Institute, New Delhi, India
&
M. L. Aggarwal Department of Mathematical Sciences, University of Memphis, Memphis, Tennessee, USACorrespondence[email protected]
Pages 3786-3798 | Received 09 Jul 2009, Accepted 09 Feb 2011, Published online: 04 Sep 2012

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Jigneshkumar Gondaliya & Jyoti Divecha. (2020) Optimal and/or efficient three treatment crossover designs for five carryover models. Journal of Biopharmaceutical Statistics 30:3, pages 445-461.
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Poonam Singh, Mithilesh Kumar Jha & Garima Priyadarshini. (2015) Constructions of Partially Balanced Crossover Designs Based on Two and Higher Order Association Schemes. Journal of Statistical Theory and Practice 9:4, pages 778-796.
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Articles from other publishers (2)

Jigneshkumar Gondaliya & Jyoti Divecha. (2021) Optimal and/or Efficient Cross-Over Designs Balanced for Carry-Over of Active Treatments. Statistics in Biosciences 14:1, pages 158-174.
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Jigneshkumar Gondaliya & Jyoti Divecha. (2018) Optimal and/or Efficient Two treatment Crossover Designs for Five Carryover Models. The International Journal of Biostatistics 14:2.
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