Environmental Statistics and Data Analysis (Hardcover)

This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting important details and assumptions.

Topics include Bayes' Theorem, geometric distribution, computer simulation, histograms and frequency plots, maximum likelihood estimation, the tail exponential method, Bernoulli processes, Poisson processes, diffusion and dispersion of pollutants, normal distribution, confidence intervals, and stochastic dilution; gamma, chi-square, and Weibull distributions; and the two- and three-parameter lognormal distributions. The author also presents the Statistical Theory of Rollback, which allows data analysts and regulatory officials to estimate the effect of different emission control strategies on environmental quality frequency distributions.

Assuming only a basic knowledge of algebra and calculus, Environmental Statistics and Data Analysis provides an outstanding reference and collection of statistical procedures for analyzing environmental data and making accurate environmental predictions.

這本易於理解的介紹強調了在環境監測、數據分析、研究、環境現場調查和環境決策中重要的概率論和統計學領域。它以非常少的抽象數學符號傳達基本的統計理論，但不會遺漏重要的細節和假設。

主題包括貝葉斯定理、幾何分佈、計算機模擬、直方圖和頻率圖、最大似然估計、尾部指數法、伯努利過程、泊松過程、污染物的擴散和分散、正態分佈、置信區間和隨機稀釋；伽瑪分佈、卡方分佈和威布爾分佈；以及二參數和三參數對數正態分佈。作者還介紹了回滾統計理論，使數據分析師和監管官員能夠估計不同排放控制策略對環境質量頻率分佈的影響。

假設只具備基本的代數和微積分知識，《環境統計與數據分析》提供了一個優秀的參考和統計程序集，用於分析環境數據並進行準確的環境預測。