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Computational Probability Applications
Editor
- Andrew G. Glen(The Colorado College)Lawrence M. Leemis(The College of William and Mary)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-319-43317-2
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Book Chapters
The following chapters of this book are listed in IDEAS- Andrew G. Glen, 2017. "Accurate Estimation with One Order Statistic," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 1, pages 1-13, Springer.
- Andrew G. Glen, 2017. "On the Inverse Gamma as a Survival Distribution," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 2, pages 15-30, Springer.
- Andrew G. Glen & Donald R. Barr & Lawrence M. Leemis, 2017. "Order Statistics in Goodness-of-Fit Testing," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 3, pages 31-39, Springer.
- Donald R. Barr & Andrew G. Glen & Harvey F. Graf, 2017. "The “Straightforward” Nature of Arrival Rate Estimation?," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 4, pages 41-50, Springer.
- Andrew G. Glen & Lawrence M. Leemis & Daniel J. Luckett, 2017. "Survival Distributions Based on the Incomplete Gamma Function Ratio," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 5, pages 51-58, Springer.
- Andrew G. Glen & Bobbie L. Foote, 2017. "An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 6, pages 59-73, Springer.
- Andrew G. Glen, 2017. "Maximum Likelihood Estimation Using Probability Density Functions of Order Statistics," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 7, pages 75-85, Springer.
- Daniel J. Luckett & Samatha King & Lawrence M. Leemis, 2017. "Notes on Rank Statistics," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 8, pages 87-106, Springer.
- William H. Kaczynski & Lawrence M. Leemis, 2017. "Control Chart Constants for Non-normal Sampling," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 9, pages 107-117, Springer.
- Lee S. McDaniel & Andrew G. Glen & Lawrence M. Leemis, 2017. "Linear Approximations of Probability Density Functions," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 10, pages 119-132, Springer.
- Lawrence M. Leemis & Daniel J. Luckett & Austin G. Powell & Peter E. Vermeer, 2017. "Univariate Probability Distributions," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 11, pages 133-147, Springer.
- Erik Vargo & Raghu Pasupathy & Lawrence M. Leemis, 2017. "Moment-Ratio Diagrams for Univariate Distributions," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 12, pages 149-164, Springer.
- Diane L. Evans & John H. Drew & Lawrence M. Leemis, 2017. "The Distribution of the Kolmogorov–Smirnov, Cramer–von Mises, and Anderson–Darling Test Statistics for Exponential Populations with Estimated Parameters," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 13, pages 165-190, Springer.
- A. Daniel Block & Lawrence M. Leemis, 2017. "Parametric Model Discrimination for Heavily Censored Survival Data," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 14, pages 191-215, Springer.
- Lawrence M. Leemis, 2017. "Lower Confidence Bounds for System Reliability from Binary Failure Data Using Bootstrapping," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 15, pages 217-237, Springer.
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