Manipulating Stress Responses during Spaceflight Training with Virtual Stressors von Finseth, Tor, Dorneich, Michael C., Keren, Nir, Franke, Warren D., Vardeman, Stephen B.

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Some Bayesian biclustering methods: Modeling and inference von Chakraborty, Abhishek, Vardeman, Stephen B.

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Modeling and inference for mixtures of simple symmetric exponential families of p‐dimensional distributions for vectors with binary coordinates von Chakraborty, Abhishek, Vardeman, Stephen B.

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Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement von Vardeman, Stephen B, Jobe, J. Marcus

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Modern measurement, probability, and statistics: Some generalities and multivariate illustrations von Vardeman, Stephen B.

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Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science von Du, Chuanlong, Nordman, Daniel J., Vardeman, Stephen B.

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Modeling and Inference for Measured Crystal Orientations and a Tractable Class of Symmetric Distributions for Rotations in Three Dimensions von Bingham, Melissa A., Nordman, Daniel J., Vardeman, Stephen B.

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Majority Voting by Independent Classifiers Can Increase Error Rates von Vardeman, Stephen B., Morris, Max D.

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ASA President’s Task Force Statement on Statistical Significance and Replicability von Yoav Benjamini, Richard De Veaux, Bradley Efron, Scott Evans, Mark Glickman, Barry I. Graubard, Xuming He, Xiao-Li Meng, Nancy Reid, Stephen M. Stigler, Stephen B. Vardeman, Christopher K. Wikle, Tommy Wright, Linda J. Young, Karen Kafadar

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A Bayesian Approach to the Analysis of Gauge R&R Data von Weaver, Brian P., Hamada, Michael S., Vardeman, Stephen B., Wilson, Alyson G.

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Bayes Statistical Analyses for Particle Sieving Studies von Leyva, Norma, Page, Garritt L., Vardeman, Stephen B., Wendelberger, Joanne R.

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A Bayesian Approach to Establishing a Reference Particle Size Distribution in the Presence of Outliers von Page, Garritt L., Vardeman, Stephen B.

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Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition, William Q.Meeker, Gerald J.Hahn and Luis A.Escobar, John Wiley & Sons Inc., 2017, 592 + xxxv pages... von Vardeman, Stephen B.

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Bayes Inference for a Tractable New Class of Non-symmetric Distributions for 3-Dimensional Rotations von Bingham, Melissa A., Nordman, Daniel J., Vardeman, Stephen B.

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Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates von Chakraborty, Abhishek, Vardeman, Stephen B.

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Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises–Fisher distribution von Bingham, Melissa A., Nordman, Daniel J., Vardeman, Stephen B.

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Using Bayes methods and mixture models in inter-laboratory studies with outliers von Page, Garritt L., Vardeman, Stephen B.

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Uniformly Hyper-Efficient Bayes Inference in a Class of Nonregular Problems von Nordman, Daniel J., Vardeman, Stephen B., Bingham, Melissa A.

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Bayes one-sample and one-way random effects analyses for 3-D orientations with application to materials science von Bingham, Melissa A., Nordman, Daniel J., Vardeman, Stephen B.

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Rejoinder von Vardeman, Stephen B.

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