InstitucionesÁrea de conocimientoPeriodo de publicación recogido
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Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs
José Núñez Ares, Peter Goos
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 62, Nº. 1, 2020, págs. 21-36
Projections of Definitive Screening Designs by Dropping Columns: Selection and Evaluation
Alan R. Vazquez, Peter Goos, Eric D. Schoen
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 62, Nº. 1, 2020, págs. 37-47
Kalliopi Mylona, Steven G. Gilmour, Peter Goos
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 62, Nº. 1, 2020, págs. 57-70
Optimal Experimental Design in the Presence of Nested Factors
Peter Goos, Bradley Jones
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 61, Nº. 4, 2019, págs. 533-544
Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays
Alan R. Vazquez, Peter Goos, Eric D. Schoen
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 61, Nº. 2, 2019, págs. 219-232
Constructing General Orthogonal Fractional Factorial Split-Plot Designs.
Bagus Sartono, Peter Goos, Eric Schoen
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 57, Nº. 4, 2015, págs. 488-502
Blocking Orthogonal Designs With Mixed Integer Linear Programming.
Bagus Sartono, Eric Schoen, Peter Goos
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 57, Nº. 3, 2015, págs. 428-439
Three-stage industrial strip-plot experiments
Heidi Arnouts, Peter Goos, Bradley Jones
Quality control and applied statistics, ISSN 0033-5207, Vol. 59, Nº. 1-2, 2014, págs. 127-128
Kalliopi Mylona, Peter Goos, Bradley Jones
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 56, Nº. 2, 2014, págs. 132-144
Kalliopi Mylona, Peter Goos, Bradley Jones
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 56, Nº. 2, 2014, págs. 132-144
I-optimal versus D-optimal split-plot response surface designs
Bradley Jones, Peter Goos
Quality control and applied statistics, ISSN 0033-5207, Vol. 58, Nº. 4, 2013, págs. 365-366
A General Strategy for Analyzing Data From split-Plot and Multistratum Experimental Designs.
Peter Goos, Steven G. Gilmour
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 54, Nº. 4, 2012, págs. 340-354
Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor.
Heidi Arnouts, Peter Goos
Technometrics: A journal of statistics for the physical, chemical and engineering sciences, ISSN 0040-1706, Vol. 54, Nº. 4, 2012, págs. 355-366
Analysis of data from non-orthogonal multistratum designs in industrial experiments
Steven G. Gilmour, Peter Goos
Quality control and applied statistics, ISSN 0033-5207, Vol. 55, Nº. 1-2, 2010, págs. 95-96
Optimal designs for conjoint experiments
Roselinde Kessels, Peter Goos, Martina Vandebroek
Quality control and applied statistics, ISSN 0033-5207, Vol. 53, Nº. 6, 2008, págs. 591-594
The D-optimal design of blocked experiments with mixture components
Alexander N Donev, Peter Goos
Quality control and applied statistics, ISSN 0033-5207, Vol. 52, Nº. 4, 2007, págs. 427-432
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