Simple, clear, and to the point, Probability and Statistics
Applications for Environmental Science delineates the fundamentals
of statistics, imparting a basic understanding of the theory and
mechanics of the calculations. User-friendliness, uncomplicated
explanations, and coverage of example applications in the
environmental field set this book apart from other textbooks on the
same subject. Striking a balance between theory and applied
mathematics, the material is divided into three parts. Part I sets
the stage with coverage of principles and fundamentals, such as set
notation, probability distributions, and the estimation of the mean
and variance. Part II discusses traditional statistics
applications, centering around the uses of probability
distributions, including how they relate to reliability and failure
theory. The authors elucidate many of the important distributions,
Monte Carlo methods, and fault and event trees. Part III delves
into what some have come to define as contemporary statistics. It
covers hypothesis testing, Student's t and chi-square tests,
regression analysis, analysis of variance (ANOVA), and
nonparametric tests. The book's coverage is thorough, its
presentation logical and geared to student's needs. It includes
problems and solutions within the text and tables, a glossary of
terms, and an introduction to design of experiments in the
appendices. The authors, known for their meticulously accurate,
articulate, and practical writing style, master the difficult task
of explaining very complicated subject matter in a way that is
easily understood. The book features a clear, concise presentation
that makes both teaching and learning easier.
General
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