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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Chapman and Hall/CRC,
2008.
|
| Edición: | 2nd ed. |
| Colección: | Applied environmental statistics.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Manly, Bryan F. J., |d 1944- | |
| 245 | 1 | 0 | |a Statistics for environmental science and management / |c Bryan F.J. Manly. |
| 250 | |a 2nd ed. | ||
| 264 | 1 | |a [Place of publication not identified] : |b Chapman and Hall/CRC, |c 2008. | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC applied environmental statistics | |
| 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> | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1 The Role of Statistics in Environmental Science -- chapter 2 Environmental Sampling -- chapter 3 Models for Data -- chapter 4 Drawing Conclusions from Data -- chapter 5 Environmental Monitoring -- chapter 6 Impact Assessment -- chapter 7 Assessing Site Reclamation -- chapter 8 Time Series Analysis -- chapter 9 Spatial-Data Analysis -- chapter 10 Censored Data -- chapter 11 Monte Carlo Risk Assessment -- chapter 12 Final Remarks. | |
| 520 | 3 | |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. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Environmental sciences |x Statistical methods. | |
| 650 | 0 | |a Environmental management |x Statistical methods. | |
| 650 | 6 | |a Sciences de l'environnement |x Méthodes statistiques. | |
| 650 | 6 | |a Environnement |x Gestion |x Méthodes statistiques. | |
| 650 | 7 | |a SCIENCE / Environmental Science. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Environmental / General. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Environmental |v General. |2 bisacsh | |
| 650 | 7 | |a Environmental sciences |x Statistical methods |2 fast | |
| 776 | 0 | 8 | |i Print version: |z 9781420061475 |
| 830 | 0 | |a Applied environmental statistics. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781439878125/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH24133042 | ||
| 994 | |a 92 |b IZTAP | ||