Ebook: Probability in Petroleum and Environmental Engineering
- Year: 2005
- Publisher: Gulf Publishing Company
- pdf
Written by three of the world's most renowned petroleum and environmental engineers, Probability in Petroleum and Environmental Engineering is the first book to offer the practicing engineer and engineering student new cutting-edge techniques for prediction and forecasting in petroleum engineering and environmental management. In this book, the authors combine a rigorous, yet easy-to-understand approach to probability and how it is applied to petroleum and environmental engineering to solve multiple problems that the engineer or geologist faces every day.
Content:
Front Matter
Preface
Table of Contents
1. Introduction
2. Experiments and Events
3. Space of Elementary Events
4. Probability of Random Events
5. Conditional Probability and Stochastic Independence: Multistage Probabilistic Evaluation and Forecasting
6. Bernoulli Distribution and Sequences of Independent Trials
7. Random Variables and Distribution Functions
8. Numerical Characteristics of Random Variables: Mathematical Expectation, Variance, and Moments of Higher Order
9. Numerical Characteristics of Random Variables: Quantiles
10. Probability Distributions: Discrete Case
11. Probability Distributions: Continuous Case
12. Limit Theorems of the Probability Theory
13. Probabilistic Decision Making
Appendices
References
Author Index
Index
Content:
Front Matter
Preface
Table of Contents
1. Introduction
2. Experiments and Events
3. Space of Elementary Events
4. Probability of Random Events
5. Conditional Probability and Stochastic Independence: Multistage Probabilistic Evaluation and Forecasting
6. Bernoulli Distribution and Sequences of Independent Trials
7. Random Variables and Distribution Functions
8. Numerical Characteristics of Random Variables: Mathematical Expectation, Variance, and Moments of Higher Order
9. Numerical Characteristics of Random Variables: Quantiles
10. Probability Distributions: Discrete Case
11. Probability Distributions: Continuous Case
12. Limit Theorems of the Probability Theory
13. Probabilistic Decision Making
Appendices
References
Author Index
Index
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