Computational Probability Applications
This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is...
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Series: | International Series in Operations Research & Management Science,
247 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Accurate Estimation with One Order Statistic
- On the Inverse Gamma as a Survival Distribution
- Order Statistics in Goodness-of-Fit Testing
- The "Straightforward" Nature of Arrival Rate Estimation?
- Survival Distributions Based on the Incomplete Gamma Function Ratio
- An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring
- Maximum Likelihood Estimation Using Probability Density Functions of Order Statistics
- Notes on Rank Statistics
- Control Chart Constants for Non-Normal Sampling
- Linear Approximations of Probability Density Functions
- Univariate Probability Distributions
- Moment-Ratio Diagrams for Univariate Distributions
- The Distribution of the Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling Test Statistics for Exponential Populations with Estimated Parameters
- Parametric Model Discrimiation for Heavily Censored Survival Data
- Lower Confidence Bounds for System Reliability from Binary Failure Data Using Bootstrapping. .