"Probability in Petroleum And Environmmental Engineering" By G.V. Chilingar, L.R. Khilyuk, H.H. Rieke

Written by three of the world's most renowned petroleum and environmental engineers, the book is first to offer the practising engineer and engineering student new cutting-edge techniques for prediction and forecasting in petroleum engineering and environmental management.
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.

In this book, the authors combine a rigorous and yet easy axiomatic approach to probability theory with numerous examples of environmental applications. The book is written as a treatise on basic probabilistic concepts and methods.

This approach can provide students and practicing environmentalists with a convenient, practical guide to the theoretical issues, and simultaneously present specific conceptual approaches in the development of useful environmental applications.

The authors have chosen the direct way of presenting the main probabilistic concepts, using examples of corresponding environmental issues as illustrations and sources of probability problems. This book can be regarded as a necessary introductory guide to probability theory and its logic for the students and professionals who will have to ameliorate and/or manage environmental issues.

TOC
Ch. 1 Introduction
Ch. 2 Experiments and events
Ch. 3 Space of elementary events
Ch. 4 Probability of random events
Ch. 5 Conditional probability and stochastic independence : multistage probabilistic evaluation and forecasting
Ch. 6 Bernoulli distribution and sequences of independent trials
Ch. 7 Random variables and distribution functions
Ch. 8 Numerical characteristics of random variables : mathematical expectation, variance, and moments of higher order
Ch. 9 Numerical characteristics of random variables : quantiles
Ch. 10 Probability distributions : discrete case
Ch. 11 Probability distributions : continuous case
Ch. 12 Limit theorems of the probability theory
Ch. 13 Probabilistic decision making
App. 1 Principles of set theory
App. 2 Methods of counting
App. 3 Statistical comparison of an original data set with its subset in oil spill studies
App. 4 Standard normal distribution function