Probability and Statistics Applications for Environmental Science presents
fundamental principles including set notation and the estimation of the mean and
variance. Focusing on traditional statistics applications, this book explores
the use of probability distributions, such as Monte Carlo methods and fault and
event trees, and examines how they relate to reliability and failure theory. It
also provides coverage of contemporary statistics with topics like hypothesis
testing, students' t- and chi-square tests, regression analysis, analysis of
variance, and nonparametric tests. An outstanding feature of this text is the
detailed glossary of terms provided in each section as well as in the appendix.