Computational Probability Applications

Edited by Andrew G. Glen () and Lawrence M. Leemis ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2017
ISBN: 978-3-319-43317-2
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Chapters in this book:

Ch 1 Accurate Estimation with One Order Statistic

Andrew G. Glen

Ch 2 On the Inverse Gamma as a Survival Distribution

Andrew G. Glen

Ch 3 Order Statistics in Goodness-of-Fit Testing

Andrew G. Glen, Donald R. Barr and Lawrence M. Leemis

Ch 4 The “Straightforward” Nature of Arrival Rate Estimation?

Donald R. Barr, Andrew G. Glen and Harvey F. Graf

Ch 5 Survival Distributions Based on the Incomplete Gamma Function Ratio

Andrew G. Glen, Lawrence M. Leemis and Daniel J. Luckett

Ch 6 An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring

Andrew G. Glen and Bobbie L. Foote

Ch 7 Maximum Likelihood Estimation Using Probability Density Functions of Order Statistics

Andrew G. Glen

Ch 8 Notes on Rank Statistics

Daniel J. Luckett, Samatha King and Lawrence M. Leemis

Ch 9 Control Chart Constants for Non-normal Sampling

William H. Kaczynski and Lawrence M. Leemis

Ch 10 Linear Approximations of Probability Density Functions

Lee S. McDaniel, Andrew G. Glen and Lawrence M. Leemis

Ch 11 Univariate Probability Distributions

Lawrence M. Leemis, Daniel J. Luckett, Austin G. Powell and Peter E. Vermeer

Ch 12 Moment-Ratio Diagrams for Univariate Distributions

Erik Vargo, Raghu Pasupathy and Lawrence M. Leemis

Ch 13 The Distribution of the Kolmogorov–Smirnov, Cramer–von Mises, and Anderson–Darling Test Statistics for Exponential Populations with Estimated Parameters

Diane L. Evans, John H. Drew and Lawrence M. Leemis

Ch 14 Parametric Model Discrimination for Heavily Censored Survival Data

A. Daniel Block and Lawrence M. Leemis

Ch 15 Lower Confidence Bounds for System Reliability from Binary Failure Data Using Bootstrapping

Lawrence M. Leemis

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DOI: 10.1007/978-3-319-43317-2

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