ABSTRACT

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 ap

section Section I|1 pages

Fundamentals

chapter 1|11 pages

PAC: Permutations and Combinations

chapter 3|7 pages

SNE. Set Notation

chapter 4|7 pages

BTH. Basic Theorems

chapter 5|8 pages

COP. Conditional Probability

chapter 6|10 pages

RAR. Random Variables and Random Numbers

chapter 8|11 pages

EXV. Expected Values

chapter 9|13 pages

EMV. Estimation of Mean and Variance

section Section II|1 pages

Traditional Applications

chapter 10|8 pages

BAY. Bayes’ Theorem

chapter 11|7 pages

SPS. Series and Parallel Systems

chapter 12|9 pages

BIN. The Binomial Distribution

chapter 13|7 pages

REL. Reliability Relations

chapter 14|7 pages

HYP. Hypergeometric Distribution

chapter 15|10 pages

POI. Poisson Distribution

chapter 16|8 pages

EXP. Exponential Distribution

chapter 17|10 pages

WBL. Weibull Distribution

chapter 18|16 pages

NOR. Normal Distribution

chapter 19|17 pages

LOG. Log-Normal Distribution

chapter 20|10 pages

MON. Monte Carlo Simulation

chapter 21|14 pages

FET. Fault Tree and Event Tree Analysis

section Section III|1 pages

Contemporary Applications

chapter 22|9 pages

CIM. Confidence Intervals for Means

chapter 23|7 pages

CIP. Confidence Intervals for Proportions

chapter 24|10 pages

HYT. Hypothesis Testing

chapter 26|10 pages

CHI. Chi-Square Distribution

chapter 27|8 pages

FFF. The F Distribution

chapter 29|8 pages

NPT. Nonparametric Tests

chapter 30|20 pages

ANV. Analysis of Variance