227 results on '"Vardeman, Stephen B."'
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2. Introduction
3. Process Characterization and Capability Analysis
4. Process Monitoring
5. Experimental Design and Analysis for Process Improvement Part 1: Basics
6. Statistics and Measurement
7. Statistics and Ethics: Some Advice for Young Statisticians
8. Two-Way Random-Effects Analyses and Gauge R&R Studies
9. Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science
10. One-sample Bayes inference for symmetric distributions of 3-D rotations
11. REPLY
12. A WRAPPED TRIVARIATE NORMAL DISTRIBUTION AND BAYES INFERENCE FOR 3-D ROTATIONS
13. Some Bayesian biclustering methods: Modeling and inference
14. 10516
15. Bayes Statistical Analyses for Particle Sieving Studies
16. Majority Voting by Independent Classifiers Can Increase Error Rates
17. Bayes Inference for a Tractable New Class of Non-symmetric Distributions for 3-Dimensional Rotations
18. The Expected Sample Variance of Uncorrelated Random Variables with a Common Mean and Some Applications in Unbalanced Random Effects Models
19. Manipulating Stress Responses during Spaceflight Training with Virtual Stressors
20. Statistical Methods for Quality Assurance
21. Elementary Statistical Methods and Measurement Error
22. Modeling and Inference for Measured Crystal Orientations and a Tractable Class of Symmetric Distributions for Rotations in Three Dimensions
23. Uniformly Hyper-Efficient Bayes Inference in a Class of Nonregular Problems
24. ASA President’s Task Force Statement on Statistical Significance and Replicability
25. Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises–Fisher distribution
26. The ASA president’s task force statement on statistical significance and replicability
27. A Discussion of All-or-None Inspection Policies
28. Optimal Adjustment in the Presence of Deterministic Process Drift and Random Adjustment Error
29. [Statistical Process Monitoring and Feedback Adjustment]: Discussion
30. Admissible Solutions of Finite State Sequence Compound Decision Problems
31. What about the Other Intervals?
32. The Legitimate Role of Inspection in Modern SQC
33. Modeling and inference for mixtures of simple symmetric exponential families of ‐dimensional distributions for vectors with binary coordinates
34. A Bayesian Approach to Establishing a Reference Particle Size Distribution in the Presence of Outliers
35. Using Bayes methods and mixture models in inter-laboratory studies with outliers
36. Hierarchical Bayesian statistical analysis for a calibration experiment
37. Likelihood-based statistical estimation from quantized data
38. A brief tutorial on the estimation of the process standard deviation
39. Machine Learning: A Concise Introduction Steven W. Knox John Wiley & Sons, 2018, 352 pages, $99.95, hardcover ISBN: 978‐1‐119‐43919‐6
40. On the S-instability and degeneracy of discrete deep learning models
41. Introduction to Two Classics in Statistical Process Control
42. Development test programs for 1-shot systems: 2-state reliability and binary development-test results
43. A Note on the Applicability of Sequence Compound Decision Schemes
44. Modeling and inference for mixtures of simple symmetric exponential families of p‐dimensional distributions for vectors with binary coordinates.
45. 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, £83.50, hardcover, ISBN: 978-0-471-68717-7
46. Sheppard's correction for variances and the 'quantization noise model'
47. A new approach for improved identification of measurement bias
48. On the S-instability and degeneracy of discrete deep learning models.
49. $O(N^{-{\textstyle\frac{1}{2}}})$ Convergence in the General Bounded Risk Two State Sequence Compound Decision Problem
50. Statistics and Probability Theory: In Pursuit of Engineering Decision Support Michael Havbro Faber
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