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Primary Article

A Bayesian Approach to the Design and Analysis of Fractionated Experiments

Pages 219-229 | Published online: 01 Jan 2012

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Jonathan Stallrich, Katherine Allen-Moyer & Bradley Jones. (2023) D- and A-Optimal Screening Designs. Technometrics 65:4, pages 492-501.
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Ming-Chung Chang. (2023) Bayesian-inspired minimum contamination designs under a double-pair conditional effect model. Statistical Theory and Related Fields 0:0, pages 1-14.
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Simon Mak, Yuanshuo Zhao, Lavonne Hoang & C. F. Jeff Wu. (2022) TSEC: A Framework for Online Experimentation under Experimental Constraints. Technometrics 64:4, pages 513-523.
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I-Tang Yu. (2022) Bayesian non-homogeneous cumulative probability models for ordinal data from designed experiments. Communications in Statistics - Theory and Methods 51:17, pages 6008-6020.
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Xiaoning Kang, Shyam Ranganathan, Lulu Kang, Julia Gohlke & Xinwei Deng. (2021) Bayesian auxiliary variable model for birth records data with qualitative and quantitative responses. Journal of Statistical Computation and Simulation 91:16, pages 3283-3303.
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Lulu Kang, Xiaoning Kang, Xinwei Deng & Ran Jin. (2018) A Bayesian hierarchical model for quantitative and qualitative responses. Journal of Quality Technology 50:3, pages 290-308.
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Matthias H. Y. Tan. (2017) Polynomial metamodeling with dimensional analysis and the effect heredity principle. Quality Technology & Quantitative Management 14:2, pages 195-213.
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Asad Haris, Daniela Witten & Noah Simon. (2016) Convex Modeling of Interactions With Strong Heredity. Journal of Computational and Graphical Statistics 25:4, pages 981-1004.
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V. Roshan Joseph & Huan Yan. (2015) Engineering-Driven Statistical Adjustment and Calibration. Technometrics 57:2, pages 257-267.
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DanielW. Apley & Jeongbae Kim. (2011) A cautious approach to robust design with model parameter uncertainty. IIE Transactions 43:7, pages 471-482.
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Nam Hee Choi, William Li & Ji Zhu. (2010) Variable Selection With the Strong Heredity Constraint and Its Oracle Property. Journal of the American Statistical Association 105:489, pages 354-364.
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V. Roshan Joseph & Shreyes N. Melkote. (2009) Statistical Adjustments to Engineering Models. Journal of Quality Technology 41:4, pages 362-375.
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Lulu Kang & V. Roshan Joseph. (2009) Bayesian Optimal Single Arrays for Robust Parameter Design. Technometrics 51:3, pages 250-261.
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V. Roshan Joseph & James Dillon Delaney. (2008) Analysis of Optimization Experiments. Journal of Quality Technology 40:3, pages 282-298.
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V. Roshan Joseph & James Dillon Delaney. (2007) Functionally Induced Priors for the Analysis of Experiments. Technometrics 49:1, pages 1-11.
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Articles from other publishers (21)

Haosheng Jiang & Chongqi Zhang. (2023) Optimal two-level regular fractional factorial split-plot designs when the effects of subplot factors are more important. Metrika.
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Lulu Kang, Xinwei Deng & Ran Jin. (2023) Bayesian D-Optimal Design of Experiments with Quantitative and Qualitative Responses. The New England Journal of Statistics in Data Science, pages 371-385.
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Nandan Sudarsanam, Anusha Kumar & Daniel D. Frey. (2022) Quantifying the maximum possible improvement in $$2^{k}$$ experiments. Research in Engineering Design 33:4, pages 367-384.
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Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu & Naren Ramakrishnan. (2021) Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Transactions on Knowledge Discovery from Data 16:2, pages 1-28.
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Ming-Chung Chang. (2019) De-aliasing in two-level factorial designs: A Bayesian approach. Journal of Statistical Planning and Inference 203, pages 82-90.
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Lulu Kang & Xiao Huang. (2019) Bayesian A-Optimal Design of Experiment with Quantitative and Qualitative Responses. Journal of Statistical Theory and Practice 13:4.
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Nandan Sudarsanam, Balaji Pitchai Kannu & Daniel D. Frey. (2019) Optimal replicates for designed experiments under the online framework. Research in Engineering Design 30:3, pages 363-379.
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Ming-Chung Chang, Shao-Wei Cheng & Ching-Shui Cheng. (2019) Signal aliasing in Gaussian random fields for experiments with qualitative factors. The Annals of Statistics 47:2.
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Ming-Chung Chang & Ching-Shui Cheng. (2018) A Bayesian approach to the selection of two-level multi-stratum factorial designs. The Annals of Statistics 46:4.
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I-Tang Yu. (2017) A Bayesian analysis of reliability improvement experiments. Quality and Reliability Engineering International 33:8, pages 2531-2538.
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Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu & Naren Ramakrishnan. (2016) Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Yun Li, George T. O’Connor, Josée Dupuis & Eric Kolaczyk. (2015) Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies. Statistical Applications in Genetics and Molecular Biology 14:3.
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Matthias Hwai Yong Tan. (2015) Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices. SIAM/ASA Journal on Uncertainty Quantification 3:1, pages 146-168.
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Lu Wang, Jincheng Shen & Peter F. Thall. (2014) A modified adaptive Lasso for identifying interactions in the Cox model with the heredity constraint. Statistics & Probability Letters 93, pages 126-133.
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I. Couckuyt, A. Forrester, D. Gorissen, F. De Turck & T. Dhaene. (2012) Blind Kriging: Implementation and performance analysis. Advances in Engineering Software 49, pages 1-13.
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D. D. Frey. (2011) Efficiently estimating mean shift due to variability. Efficiently estimating mean shift due to variability.
Masao Ueki & Yoshinori Kawasaki. (2011) Automatic grouping using smooth-threshold estimating equations. Electronic Journal of Statistics 5:none.
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Mingyao Ai, Lulu Kang & V. Roshan Joseph. (2009) Bayesian optimal blocking of factorial designs. Journal of Statistical Planning and Inference 139:9, pages 3319-3328.
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V. R. Joseph, M. AI & C. F. J. Wu. (2009) Bayesian-inspired minimum aberration two- and four-level designs. Biometrika 96:1, pages 95-106.
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Alexander I.J. Forrester & Andy J. Keane. (2009) Recent advances in surrogate-based optimization. Progress in Aerospace Sciences 45:1-3, pages 50-79.
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V. Roshan Joseph, Ying Hung & Agus Sudjianto. (2008) Blind Kriging: A New Method for Developing Metamodels. Journal of Mechanical Design 130:3.
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