Glen, Andrew G.
Computational Probability Applications
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
- Glen, Andrew G.
- Leemis, Lawrence M.
- Publisher
- Springer
- Publication year
- 2017
- Language
- en
- Edition
- 1
- Series
- International Series in Operations Research & Management Science
- Page amount
- 10 pages
- Category
- Economy
- Format
- Ebook
- eISBN (PDF)
- 9783319433172
- Printed ISBN
- 978-3-319-43315-8