Statistics for environmental science and management

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find...

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1. Verfasser: Manly, Bryan F. J. 1944- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: [Place of publication not identified] Chapman and Hall/CRC 2008
Ausgabe:2nd ed.
Schriftenreihe:Chapman & Hall/CRC applied environmental statistics
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500 |a <P><STRONG>The Role of Statistics in Environmental Science</STRONG></P><P>Introduction</P><P>Some Examples</P><P>The Importance of Statistics in the Examples</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Environmental Sampling</STRONG></P><P>Introduction</P><P>Simple Random Sampling</P><P>Estimation of Population Means</P><P>Estimation of Population Totals</P><P>Estimation of Proportions</P><P>Sampling and Nonsampling Errors</P><P>Stratified Random Sampling</P><P>Post-Stratification</P><P>Systematic Sampling</P><P>Other Design Strategies</P><P>Ratio Estimation</P><P>Double Sampling0</P><P>Choosing Sample Sizes1</P><P>Unequal-Probability Sampling</P><P>The Data Quality Objectives Process</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Models for Data</STRONG></P><P>Statistical Models</P><P>Discrete Statistical Distributions</P><P>Continuous Statistical Distributions</P><P>The Linear Regression Model8</P><P>Factorial Analysis of Variance</P><P>Generalized Linear Models</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Drawing Conclusions from Data</STRONG></P><P>Introduction</P><P>Observational and Experimental Studies</P><P>True Experiments and Quasi-Experiments</P><P>Design-Based and Model-Based Inference</P><P>Tests of Significance and Confidence Intervals</P><P>Randomization Tests</P><P>Bootstrapping</P><P>Pseudoreplication</P><P>Multiple Testing</P><P>Meta-Analysis</P><P>Bayesian Inference</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Environmental Monitoring</STRONG></P><P>Introduction</P><P>Purposely Chosen Monitoring Sites</P><P>Two Special Monitoring Designs6</P><P>Designs Based on Optimization</P><P>Monitoring Designs Typically Used</P><P>Detection of Changes by Analysis of Variance</P><P>Detection of Changes Using Control Charts</P><P>Detection of Changes Using CUSUM Charts</P><P>Chi-Squared Tests for a Change in a Distribution</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Impact Assessment</STRONG></P><P>Introduction</P><P>The Simple Difference Analysis with BACI Designs</P><P>Matched Pairs with a BACI Design.</P><P>Impact-Control Designs</P><P>Before-After Designs</P><P>Impact-Gradient Designs</P><P>Inferences from Impact Assessment Studies</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Assessing Site Reclamation</STRONG></P><P>Introduction</P><P>Problems with Tests of Significance</P><P>The Concept of Bioequivalence</P><P>Two-Sided Tests of Bioequivalence</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Time Series Analysis</STRONG></P><P>Introduction</P><P>Components of Time Series</P><P>Serial Correlation</P><P>Tests for Randomness</P><P>Detection of Change Points and Trends</P><P>More-Complicated Time Series Models</P><P>Frequency Domain Analysis</P><P>Forecasting</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Spatial-Data Analysis</STRONG></P><P>Introduction</P><P>Types of Spatial Data</P><P>Spatial Patterns in Quadrat Counts</P><P>Correlation between Quadrat Counts</P><P>Randomness of Point Patterns</P><P>Correlation between Point Patterns</P><P>Mantel Tests for Autocorrelation</P><P>The Variogram</P><P>Kriging</P><P>Correlation between Variables in Space</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Censored Data</STRONG></P><P>Introduction</P><P>Single Sample Estimation</P><P>Estimation of Quantiles</P><P>Comparing the Means of Two or More Samples</P><P>Regression with Censored Data</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Monte Carlo Risk Assessment</STRONG></P><P>Introduction</P><P>Principles for Monte Carlo Risk Assessment</P><P>Risk Analysis Using a Spreadsheet</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Final Remarks</STRONG></P><P><STRONG><EM>Appendices</EM></STRONG></P><P><STRONG><EM>References</EM></STRONG></P><P><STRONG><EM>Index</EM></STRONG></P>. - Includes bibliographical references and index 
520 |a Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly's ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development. 
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650 4 |a SCIENCE / Environmental Science 
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Sampling0&lt;/P&gt;&lt;P&gt;Choosing Sample Sizes1&lt;/P&gt;&lt;P&gt;Unequal-Probability Sampling&lt;/P&gt;&lt;P&gt;The Data Quality Objectives Process&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Models for Data&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Statistical Models&lt;/P&gt;&lt;P&gt;Discrete Statistical Distributions&lt;/P&gt;&lt;P&gt;Continuous Statistical Distributions&lt;/P&gt;&lt;P&gt;The Linear Regression Model8&lt;/P&gt;&lt;P&gt;Factorial Analysis of Variance&lt;/P&gt;&lt;P&gt;Generalized Linear Models&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Drawing Conclusions from Data&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Introduction&lt;/P&gt;&lt;P&gt;Observational and Experimental Studies&lt;/P&gt;&lt;P&gt;True Experiments and Quasi-Experiments&lt;/P&gt;&lt;P&gt;Design-Based and Model-Based Inference&lt;/P&gt;&lt;P&gt;Tests of Significance and Confidence Intervals&lt;/P&gt;&lt;P&gt;Randomization Tests&lt;/P&gt;&lt;P&gt;Bootstrapping&lt;/P&gt;&lt;P&gt;Pseudoreplication&lt;/P&gt;&lt;P&gt;Multiple Testing&lt;/P&gt;&lt;P&gt;Meta-Analysis&lt;/P&gt;&lt;P&gt;Bayesian Inference&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Environmental Monitoring&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Introduction&lt;/P&gt;&lt;P&gt;Purposely Chosen Monitoring Sites&lt;/P&gt;&lt;P&gt;Two Special Monitoring Designs6&lt;/P&gt;&lt;P&gt;Designs Based on Optimization&lt;/P&gt;&lt;P&gt;Monitoring Designs Typically Used&lt;/P&gt;&lt;P&gt;Detection of Changes by Analysis of Variance&lt;/P&gt;&lt;P&gt;Detection of Changes Using Control Charts&lt;/P&gt;&lt;P&gt;Detection of Changes Using CUSUM Charts&lt;/P&gt;&lt;P&gt;Chi-Squared Tests for a Change in a Distribution&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Impact Assessment&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Introduction&lt;/P&gt;&lt;P&gt;The Simple Difference Analysis with BACI Designs&lt;/P&gt;&lt;P&gt;Matched Pairs with a BACI Design.&lt;/P&gt;&lt;P&gt;Impact-Control Designs&lt;/P&gt;&lt;P&gt;Before-After Designs&lt;/P&gt;&lt;P&gt;Impact-Gradient Designs&lt;/P&gt;&lt;P&gt;Inferences from Impact Assessment Studies&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Assessing Site Reclamation&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Introduction&lt;/P&gt;&lt;P&gt;Problems with Tests of Significance&lt;/P&gt;&lt;P&gt;The Concept of Bioequivalence&lt;/P&gt;&lt;P&gt;Two-Sided Tests of Bioequivalence&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Time Series Analysis&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Introduction&lt;/P&gt;&lt;P&gt;Components of Time Series&lt;/P&gt;&lt;P&gt;Serial Correlation&lt;/P&gt;&lt;P&gt;Tests for 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Estimation&lt;/P&gt;&lt;P&gt;Estimation of Quantiles&lt;/P&gt;&lt;P&gt;Comparing the Means of Two or More Samples&lt;/P&gt;&lt;P&gt;Regression with Censored Data&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Monte Carlo Risk Assessment&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Introduction&lt;/P&gt;&lt;P&gt;Principles for Monte Carlo Risk Assessment&lt;/P&gt;&lt;P&gt;Risk Analysis Using a Spreadsheet&lt;/P&gt;&lt;P&gt;Chapter Summary&lt;/P&gt;&lt;P&gt;Exercises&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Final Remarks&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;EM&gt;Appendices&lt;/EM&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;EM&gt;References&lt;/EM&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;EM&gt;Index&lt;/EM&gt;&lt;/STRONG&gt;&lt;/P&gt;. - Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Revised, expanded, and 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Online-Ressource cr rdacarrier
Chapman & Hall/CRC applied environmental statistics
<P><STRONG>The Role of Statistics in Environmental Science</STRONG></P><P>Introduction</P><P>Some Examples</P><P>The Importance of Statistics in the Examples</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Environmental Sampling</STRONG></P><P>Introduction</P><P>Simple Random Sampling</P><P>Estimation of Population Means</P><P>Estimation of Population Totals</P><P>Estimation of Proportions</P><P>Sampling and Nonsampling Errors</P><P>Stratified Random Sampling</P><P>Post-Stratification</P><P>Systematic Sampling</P><P>Other Design Strategies</P><P>Ratio Estimation</P><P>Double Sampling0</P><P>Choosing Sample Sizes1</P><P>Unequal-Probability Sampling</P><P>The Data Quality Objectives Process</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Models for Data</STRONG></P><P>Statistical Models</P><P>Discrete Statistical Distributions</P><P>Continuous Statistical Distributions</P><P>The Linear Regression Model8</P><P>Factorial Analysis of Variance</P><P>Generalized Linear Models</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Drawing Conclusions from Data</STRONG></P><P>Introduction</P><P>Observational and Experimental Studies</P><P>True Experiments and Quasi-Experiments</P><P>Design-Based and Model-Based Inference</P><P>Tests of Significance and Confidence Intervals</P><P>Randomization Tests</P><P>Bootstrapping</P><P>Pseudoreplication</P><P>Multiple Testing</P><P>Meta-Analysis</P><P>Bayesian Inference</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Environmental Monitoring</STRONG></P><P>Introduction</P><P>Purposely Chosen Monitoring Sites</P><P>Two Special Monitoring Designs6</P><P>Designs Based on Optimization</P><P>Monitoring Designs Typically Used</P><P>Detection of Changes by Analysis of Variance</P><P>Detection of Changes Using Control Charts</P><P>Detection of Changes Using CUSUM Charts</P><P>Chi-Squared Tests for a Change in a Distribution</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Impact Assessment</STRONG></P><P>Introduction</P><P>The Simple Difference Analysis with BACI Designs</P><P>Matched Pairs with a BACI Design.</P><P>Impact-Control Designs</P><P>Before-After Designs</P><P>Impact-Gradient Designs</P><P>Inferences from Impact Assessment Studies</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Assessing Site Reclamation</STRONG></P><P>Introduction</P><P>Problems with Tests of Significance</P><P>The Concept of Bioequivalence</P><P>Two-Sided Tests of Bioequivalence</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Time Series Analysis</STRONG></P><P>Introduction</P><P>Components of Time Series</P><P>Serial Correlation</P><P>Tests for Randomness</P><P>Detection of Change Points and Trends</P><P>More-Complicated Time Series Models</P><P>Frequency Domain Analysis</P><P>Forecasting</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Spatial-Data Analysis</STRONG></P><P>Introduction</P><P>Types of Spatial Data</P><P>Spatial Patterns in Quadrat Counts</P><P>Correlation between Quadrat Counts</P><P>Randomness of Point Patterns</P><P>Correlation between Point Patterns</P><P>Mantel Tests for Autocorrelation</P><P>The Variogram</P><P>Kriging</P><P>Correlation between Variables in Space</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Censored Data</STRONG></P><P>Introduction</P><P>Single Sample Estimation</P><P>Estimation of Quantiles</P><P>Comparing the Means of Two or More Samples</P><P>Regression with Censored Data</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Monte Carlo Risk Assessment</STRONG></P><P>Introduction</P><P>Principles for Monte Carlo Risk Assessment</P><P>Risk Analysis Using a Spreadsheet</P><P>Chapter Summary</P><P>Exercises</P><P></P><P><STRONG>Final Remarks</STRONG></P><P><STRONG><EM>Appendices</EM></STRONG></P><P><STRONG><EM>References</EM></STRONG></P><P><STRONG><EM>Index</EM></STRONG></P>. - Includes bibliographical references and index
Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly's ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development.
Environmental sciences Statistical methods
Environmental management Statistical methods
Sciences de l'environnement ; Méthodes statistiques
Environnement ; Gestion ; Méthodes statistiques
SCIENCE / Environmental Science
TECHNOLOGY & ENGINEERING / Environmental / General
TECHNOLOGY & ENGINEERING ; Environmental ; General
Environmental sciences ; Statistical methods
9781420061475
Erscheint auch als Druck-Ausgabe 9781420061475
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781439878125/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Manly, Bryan F. J. 1944-
Statistics for environmental science and management
Environmental sciences Statistical methods
Environmental management Statistical methods
Sciences de l'environnement ; Méthodes statistiques
Environnement ; Gestion ; Méthodes statistiques
SCIENCE / Environmental Science
TECHNOLOGY & ENGINEERING / Environmental / General
TECHNOLOGY & ENGINEERING ; Environmental ; General
Environmental sciences ; Statistical methods
title Statistics for environmental science and management
title_auth Statistics for environmental science and management
title_exact_search Statistics for environmental science and management
title_full Statistics for environmental science and management Bryan F.J. Manly
title_fullStr Statistics for environmental science and management Bryan F.J. Manly
title_full_unstemmed Statistics for environmental science and management Bryan F.J. Manly
title_short Statistics for environmental science and management
title_sort statistics for environmental science and management
topic Environmental sciences Statistical methods
Environmental management Statistical methods
Sciences de l'environnement ; Méthodes statistiques
Environnement ; Gestion ; Méthodes statistiques
SCIENCE / Environmental Science
TECHNOLOGY & ENGINEERING / Environmental / General
TECHNOLOGY & ENGINEERING ; Environmental ; General
Environmental sciences ; Statistical methods
topic_facet Environmental sciences Statistical methods
Environmental management Statistical methods
Sciences de l'environnement ; Méthodes statistiques
Environnement ; Gestion ; Méthodes statistiques
SCIENCE / Environmental Science
TECHNOLOGY & ENGINEERING / Environmental / General
TECHNOLOGY & ENGINEERING ; Environmental ; General
Environmental sciences ; Statistical methods
url https://learning.oreilly.com/library/view/-/9781439878125/?ar
work_keys_str_mv AT manlybryanfj statisticsforenvironmentalscienceandmanagement