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Journal of Applied Statistics Volume 32, 2005 - Issue 3
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Original Articles

Experimentation order in factorial designs with 8 or 16 runs

Guillermo De León Adams Escuela de Estadística, Universidad Veracruzana, Avenida Xalapa s/n, Xalapa, México
,
Pere Grima Cintas Department of Statistics and Operational Research, Technical University of Catalonia (UPC), Barcelona, Spain
&
Xavier Tort-Martorell Llabrés Department of Statistics and Operational Research, Technical University of Catalonia (UPC), Barcelona, Spain
Pages 297-313 | Published online: 15 Aug 2006

Citations (11)

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Romario A. Conto López, Alexander A. Correa Espinal & Olga C. Úsuga Manco. (2024) Run orders in factorial designs: A literature review. Communications in Statistics - Theory and Methods 53:13, pages 4557-4575.
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Hemavathi M.Eldho Varghese, Shashi Shekhar, Seema Jaggi, Arpan Bhowmik & T. V. Sathianandan. (2024) Run order consideration for sequential third order rotatable designs. Communications in Statistics - Simulation and Computation 53:2, pages 1068-1081.
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Pere Grima, Lluís Marco-Almagro & Xavier Tort-Martorell. (2022) Confronting experimental error in industrial DOE: A fresh look. Quality Engineering 34:4, pages 522-526.
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Arpan Bhowmik, Eldho Varghese, Seema Jaggi & Cini Varghese. (2022) On the generation of factorial designs with minimum level changes. Communications in Statistics - Simulation and Computation 51:6, pages 3400-3409.
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Arpan Bhowmik, Eldho Varghese, Seema Jaggi & Cini Varghese. (2017) Minimally changed run sequences in factorial experiments. Communications in Statistics - Theory and Methods 46:15, pages 7444-7459.
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Alexander A. Correa, Pere Grima & Xavier Tort-Martorell. (2012) Experimentation order in factorial designs: new findings. Journal of Applied Statistics 39:7, pages 1577-1591.
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Alexander A. Correa, Pere Grima & Xavier Tort-Martorell. (2009) Experimentation order with good properties for 2 factorial designs. Journal of Applied Statistics 36:7, pages 743-754.
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Marcelo Angelo Cirillo & Fortunato Silva de Menezes. Adaptations in the simulated annealing algorithm to generate D-optimal mixing experiments both in the absence and presence of biases in the specification of the proportions. Communications in Statistics: Case Studies, Data Analysis and Applications 0:0, pages 1-16.
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Articles from other publishers (3)

BIJOY CHANDA, ARPAN BHOWMIK, SEEMA JAGGI, ELDHO VARGHESE, ANINDITA DATTA, CINI VARGHESE, NAMITA DAS SAHA, AARTI BHATIA & BIDISHA CHAKRABARTI. (2021) Minimal cost multifactor experiments for agricultural research involving hard-to-change factors. The Indian Journal of Agricultural Sciences 91:7.
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Eldho Varghese, Arpan Bhowmik, Seema Jaggi, Cini Varghese & Charanjit Kaur. (2017) On the generation of cost effective response surface designs. Computers and Electronics in Agriculture 133, pages 37-45.
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Hisham Hilow. (2013) Comparison among run order algorithms for sequential factorial experiments. Computational Statistics & Data Analysis 58, pages 397-406.
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