Boonorm Chomtee, Ph.D.

Affiliations: 
2003 Montana State University, Bozeman, MT 
Area:
Statistics
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"Boonorm Chomtee"

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John J. Borkowski grad student 2003 Montana State
 (Comparison of design optimality criteria of reduced models for response surface designs in a spherical design region.)
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Publications

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Limmun W, Chomtee B, Borkowski J. (2019) Constructing model robust mixture designs via weighted G-optimality criterion International Journal of Industrial Engineering Computations. 10: 473-490
Pradubsri W, Chomtee B, Borkowski JJ. (2019) Using a genetic algorithm to generate D‐optimal designs for mixture‐process variable experiments Quality and Reliability Engineering International. 35: 2657-2676
Limmun W, Chomtee B, Borkowski JJ. (2019) The construction of robust mixture‐process experimental designs via genetic algorithm Quality and Reliability Engineering International. 35: 1582-1602
Limmun W, Chomtee B, Borkowski JJ. (2018) The Construction of a Model-Robust IV-Optimal Mixture Designs Using a Genetic Algorithm Mathematical & Computational Applications. 23: 25
Limmun W, Borkowski JJ, Chomtee B. (2018) Weighted A-optimality criterion for generating robust mixture designs Computers & Industrial Engineering. 125: 348-356
Chomtee B. (2015) Comparison of five design variables of response surface designs in a spherical region over a set of reduced models Kasetsart Journal - Natural Science. 49: 305-312
Limmun W, Borkowski JJ, Chomtee B. (2013) Using a genetic algorithm to generate D-optimal designs for mixture experiments Quality and Reliability Engineering International. 29: 1055-1068
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