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Glen, Andrew G.

Computational Probability Applications

Glen, Andrew G. - Computational Probability Applications, ebook

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ISBN: 9783319433172
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Table of contents

1. Accurate Estimation with One Order Statistic
Andrew G. Glen

2. On the Inverse Gamma as a Survival Distribution
Andrew G. Glen

3. Order Statistics in Goodness-of-Fit Testing
Andrew G. Glen, Donald R. Barr, Lawrence M. Leemis

4. The “Straightforward” Nature of Arrival Rate Estimation?
Donald R. Barr, Andrew G. Glen, Harvey F. Graf

5. Survival Distributions Based on the Incomplete Gamma Function Ratio
Andrew G. Glen, Lawrence M. Leemis, Daniel J. Luckett

6. An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring
Andrew G. Glen, Bobbie L. Foote

7. Maximum Likelihood Estimation Using Probability Density Functions of Order Statistics
Andrew G. Glen

8. Notes on Rank Statistics
Daniel J. Luckett, Samatha King, Lawrence M. Leemis

9. Control Chart Constants for Non-normal Sampling
William H. Kaczynski, Lawrence M. Leemis

10. Linear Approximations of Probability Density Functions
Lee S. McDaniel, Andrew G. Glen, Lawrence M. Leemis

11. Univariate Probability Distributions
Lawrence M. Leemis, Daniel J. Luckett, Austin G. Powell, Peter E. Vermeer

12. Moment-Ratio Diagrams for Univariate Distributions
Erik Vargo, Raghu Pasupathy, Lawrence M. Leemis

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, Lawrence M. Leemis

14. Parametric Model Discrimination for Heavily Censored Survival Data
A. Daniel Block, Lawrence M. Leemis

15. Lower Confidence Bounds for System Reliability from Binary Failure Data Using Bootstrapping
Lawrence M. Leemis

Keywords: Business and Management, Operation Research/Decision Theory, Statistics and Computing/Statistics Programs, Probability Theory and Stochastic Processes

Editor
 
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Series
International Series in Operations Research & Management Science
Category
Economy
Format
Ebook
eISBN (PDF)
9783319433172
Printed ISBN
978-3-319-43315-8

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