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Home > Education > Mathematics > Analyzing Environmental Data-eBook
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Analyzing Environmental Data
 
 
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Analyzing Environmental Data
The field of environmental statistics is growing rapidly due to the explosion in automated data collection systems, computing power, interactive, linkable software, public and ecological health concerns, and the continuing need for analysis to support environmental policy-making and regulation. This book provides a coherent introduction to intermediate and advanced methods for environmental data analysis and is based on a course which the author has taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of evaluation. The text also: * Takes a data-oriented approach to describing the various methods. * Each method described is illustrated with real-world examples. * Features extensive exercises, enabling use as a course text. * Includes examples of SAS computer code for implementation of the methodology. * Supported by a Website featuring solutions to exercises, extra computer code, and additional material.
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Title of ebook: Analyzing Environmental Data
ISBN: 9780470012222
Publisher: John Wiley & Sons, Inc.
Internet download file size: 4380 kb
Pages: 512
Released online for download: 06-10-2005
Author of eBook: Piegorsch, Walter W.
Author of eBook: Bailer, A. John

Analyzing Environmental Data


Chapter One

Linear regression

Considerable effort in the environmental sciences is directed at predicting an environmental or ecological response from a collection of other variables. That is, an observed response variable, Y, is recorded alongside one or more predictor variables, and these latter quantities are used to describe the deterministic aspects of Y. If we denote the predictor variables as [x.sub.1], [x.sub.2], ... , [x.sub.p], it is natural to model the deterministic aspects of the response via some function, say, g([x.sub.1], [x.sub.2], ... , [x.sub.p]; ?), where ? = [[?.sub.0] [?.sub.1] ... [?.sub.p]].sup.T] is a column vector of p + 1 unknown parameters. (A vector is an array of numbers arranged as a row or column. The superscript T indicates transposition of the ... read full excerpt from Analyzing Environmental Data ebook



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  • Mathematics
  • Probability & Statistics - General
  • Environmental Science
  • Similar Titles For: Analyzing Environmental Data


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