John Stufken - researchr alias

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Viewing Publication 1 - 9 from 9

2025

Bootstrap aggregated designs for generalized linear modelsNicholas Rios, John Stufken. jdssv, 5(1), 2025. [doi]

2024

Factor selection in screening experiments by aggregation over random modelsRakhi Singh, John Stufken. csda, 194:107940, 2024. [doi]

2023

Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood methodYao Shi, Wanchunzi Yu, John Stufken. sac, 33(5):114, October 2023. [doi]

Selection of Two-Level Supersaturated Designs for Main Effects ModelsRakhi Singh, John Stufken. technometrics, 65(1):96-104, January 2023. [doi]

2021

Optimal Setting of Test Conditions and Allocation of Test Units for Accelerated Degradation Tests With Two Stress VariablesGuan-Qi Fang, Rong Pan, John Stufken. tr, 70(3):1096-1111, 2021. [doi]

2009

Multi-objective optimal experimental designs for event-related fMRI studiesMing-Hung Kao, Abhyuday Mandal, Nicole A. Lazar, John Stufken. neuroimage, 44(3):849-856, 2009. [doi]

2002

A Careless Walk toward Zero: 10788Howard M. Taylor, Richard A. Groeneveld, John Stufken, John G. Kemeny, James Laurie Snell, Anthony W. Knapp. tamm, 109(9):855-856, 2002. [doi]

1999

Compound Orthogonal ArraysA. S. Hedayat, John Stufken. technometrics, 41(1):57-61, 1999. [doi]

1996

3 Optimal crossover designsJohn Stufken. In Sumit Ghosh, Calyampudy Radhakrishna Rao, editors, Design and analysis of experiments. Volume 13 of Handbook of statistics, pages 63-90, North-Holland, 1996. [doi]

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