Probability in Petroleum and Environmental Engineering"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."--Publisher's website. |
Contents
EXPERIMENTS AND EVENTS | 9 |
SPACE OF ELEMENTARY EVENTS | 25 |
PROBABILITY OF RANDOM EVENTS | 41 |
Copyright | |
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Common terms and phrases
A₁ A₂ air quality air-quality algebra of events application Assume Bernoulli scheme binomial calculate called central limit theorem Chapter Chebyshev's inequality chosen concentration concept conditional probability considered contamination continuous random variable corresponding decision rule defined definition of probability Denote die-rolling experiment distribution density distribution function F(x E₁ E₂ elementary events elements environmental equal equation estimate evaluate example Figure finite formula given experiment graph H₁ interval Introduce large numbers law of large mathematical expectation mathematical model mean risk measure ment n-subsets needs normal distribution notation number of events observations obtains occurred P₁ parameter Poisson Poisson distribution pollution possible probabilistic space probability of event probability theory problem quantile random events random vari real numbers sample sequence solution space of elementary specific gravity stochastic experiment subsets sulfur dioxide Suppose Table tion total number trials variance Venn diagram w₁ x₁ x₂