References
- AtkinsonACDonevAOptimum Experimental Designs1992
- BathkeAThe ANOVA F test can still be used in some balanced designs with unequal variances and nonnormal dataJournal of Statistical Planning and Inference2004126241342210.1016/j.jspi.2003.09.010
- BoxGEPBehnkenDWSome new three level designs for the study of quantitative variablesTechnometrics1960245547510.1080/00401706.1960.10489912
- CioppaTMLucasTWEfficient nearly orthogonal and space-filling Latin hypercubesTechnometrics2007491455510.1198/004017006000000453
- DellinoGKleijnenJPCMeloniCRobust optimization in simulation: Taguchi and Krige combinedINFORMS Journal on Computing201224347148410.1287/ijoc.1110.0465
- FangKTWangYNumber–Theoretic Methods in Statistics1994
- FisherRAStatistical Methods for Research Workers1925
- FlorianAAn efficient sampling scheme: Updated Latin hypercube samplingProbabilistic Engineering Mechanics19927212313010.1016/0266-8920(92)90015-A
- HedayatASSloaneNJStufkenJOrthogonal Arrays: Theory and Applications1999
- Hernandez AS, Lucas TW and Carlyle M (2012). Enabling nearly orthogonal Latin hypercube construction for any non-saturated run-variable combination. ACM Transactions on Modeling and Computer Simulation 22 (4): 20: 1–20: 17.
- HickernellFJA generalized discrepancy and quadrature error boundMathematics of Computation19986729932210.1090/S0025-5718-98-00894-1
- JohnsonMEMooreLYlvisakerDMinimax and maximin distance designsJournal of Statistical Planning and Inference199026213114810.1016/0378-3758(90)90122-B
- JosephVRHungYOrthogonal-maximin Latin hypercube designsStatistica Sinica2008181171186
- KleijnenJPCDesign and Analysis of Simulation Experiments2007
- KleijnenJPCSimulation experiments in practice: Statistical design and regression analysisJournal of Simulation200821192710.1057/palgrave.jos.4250032
- KleijnenJPCSanchezSMLucasTWCioppaTMA user’s guide to the brave new world of designing simulation experimentsINFORMS Journal on Computing200517326328910.1287/ijoc.1050.0136
- Kuhfeld WF (2010). Orthogonal Arrays, SAS. http://support.sas.com/techsup/technote/ts723.html, accessed 24 May 2012.
- LawAMSimulation Modeling and Analysis2007
- LuLAnderson-CookCMRobinsonTJOptimization of designed experiments based on multiple criteria using a Pareto frontierTechnometrics201353435336510.1198/TECH.2011.10087
- MaCFangKTLiskiEA new approach in constructing orthogonal and nearly orthogonal arraysMetrika200050325526810.1007/s001840050049
- MacCalman AD, Vieira Jr H and Lucas TW (2013). Second order nearly orthogonal modified Latin hypercubes for exploring models with multiple unknown response surface forms. Working paper, under review.
- MontevechiJABde Almeida FilhoRGPaivaAPCostaRFSMedeirosALSensitivity analysis in discrete-event simulation using fractional factorial designsJournal of Simulation20104212814210.1057/jos.2009.23
- MontgomeryDCDesign and Analysis of Experiments2005
- MyersRHMontgomeryDCAnderson-CookCMResponse Surface Methodology: Process and Product Optimization Using Designed Experiments2009
- NguyenN-KLiuM-QAn algorithmic approach to constructing mixed-level orthogonal and near-orthogonal arraysComputational Statistics and Data Analysis200852125269527610.1016/j.csda.2008.05.004
- RyanTPModern Regression Methods1997
- SacksJWelchWJMitchellTJWynnHPDesign and analysis of computer experiments (includes comments and rejoinder)Statistical Science19894440943510.1214/ss/1177012413
- SanchezSMLucasTWSanchezPJNanniniCJWanHDesigns for large-scale simulation experiments, with applications to defense and homeland securityDesign and Analysis of Experiments2012
- Sanchez SM and Wan H (2012). Work smarter, not harder: A tutorial on designing and conducting simulation experiments. In: Laroque C, Himmelspach J, Pasupathy R, Rose O, and Uhrmacher A M (eds), Proceedings of the 2012 Winter Simulation Conference, pp 1929–1943.
- SantnerTJWilliamsBJNotzWIThe Design and Analysis of Computer Experiments2003
- ShewryMCWynnHPMaximum entropy samplingJournal of Applied Statistics198714216517010.1080/02664768700000020
- Sloane NJ (2007). Orthogonal Arrays. http://neilsloane.com/oadir/, accessed 15 September 2013.
- SobolIMDistribution of points in a cube and approximate evaluation of integralsUSSR Computational Mathematics and Mathematical Physics1967748611210.1016/0041-5553(67)90144-9
- TaguchiGLinear graphs for orthogonal arrays and their applications to experimental designs, with the aid of various techniquesReports of Statistical Applications Research, Japanese Union of Scientists and Engineers19596143
- Tukey J (1959). Little pieces of mixed factorials. Unpublished manuscript.
- Van VorstNErazoMLiuJPrimoGENI for hybrid network simulation and emulation experiments in GENIJournal of Simulation20126317919210.1057/jos.2012.5
- Vieira Jr H (2011). Selecting the system most likely to be the best in the presence of an infinite number of alternatives. PhD Thesis, Aeronautics Institute of Technology. http://www.bd.bibl.ita.br/tesesdigitais/62037.pdf, accessed 24 May 2012.
- VieiraHJrSanchezSKienitzKHBelderrainMCNGenerating and improving orthogonal designs by using mixed integer programmingEuropean Journal of Operational Research2011215362963810.1016/j.ejor.2011.07.005
- Vieira Jr H, Sanchez SM, Kienitz KH and Belderrain MCN (2011b). Improved eficient, nearly orthogonal, nearly balanced mixed designs. In: Jain S, Creasey RR, Himmelspach J, White KP, and Fu M (eds), Proceedings of the 2011 Winter Simulation Conference, pp 3605–3616.
- WangJCWuCFJNearly orthogonal arrays with mixed levels and small runsTechnometrics199234440942110.1080/00401706.1992.10484952
- XuHAn algorithm for constructing orthogonal and nearly-orthogonal arrays with mixed levels and small runsTechnometrics200244435636810.1198/004017002188618554
![Supercharge Your Next Research Paper: Research and write your next paper with Jenni AI.]({"type":"image" , "src" : "/sda/112446/MPU-L1EB.png"})