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Home > Education > Mathematics > Environmental Statistics: Methods and Applications-eBook
Environmental Statistics: Methods and Applications
 
 
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Environmental Statistics: Methods and Applications
In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment collecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action. Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues Provides broad coverage of the methodology used in the statistical investigation of environmental issues. Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards. Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues. Authored by a leading authority on environmental statistics.


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Title of ebook: Environmental Statistics: Methods and Applications
ISBN: 9780470026977
Publisher: John Wiley & Sons, Inc.
Internet download file size: 2221 kb
Pages: 316
Released online for download: 12-16-2005
Author of eBook: Barnett, Vic

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Environmental Statistics

Methods and Applications

Chapter One

Introduction

It's all around us.

In this book we will be examining how statistical principles and methods can be used to study environmental problems. Our concern will be directed to:

probabilistic, stochastic and statistical models;

data collection, monitoring and representation;

drawing inferences about important characteristics of the problem;

using statistical methods to analyse data and to aid policy and action.

The principles and methods will be applicable to the complete range of environmental issues (including pollution, conservation, management and control, standards, sampling and monitoring) across all fields of interest and concern (including air and water quality, forestry, radiation, climate, food, noise, soil condition, fisheries, and environmental standards). Correspondingly, the probabilistic and statistical tools will have to be wide-ranging. Inter alia, we will consider extreme processes, stimulus response methodology, ... read full excerpt from Environmental Statistics: Methods and Applications ebook



 


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