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Handbook of environmental and ecological statistics /
"This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in the environm...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
[2019]
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| Edición: | First edition. |
| Colección: | Chapman & Hall/CRC handbooks of modern statistical methods.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Handbook of environmental and ecological statistics / |c [edited by] Alan E. Gelfand, Montserrat Fuentes, Jennifer A. Hoesting, Richard Smith. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c [2019] | |
| 300 | |a 1 online resource : |b text file, PDF | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Chapman & Hall/CRC handbooks of modern statistical methods | |
| 520 | 2 | |a "This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in the environmental processes. In addition, the environmental community has substantially increased its scope of data collection including, e.g., observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial. The contribution of this handbook is to assemble, in roughly 35 chapters, a state-ofthe-art view of this interface"--Provided by publisher. | |
| 505 | 0 | |a I. Methodology for Statistical Analysis of Environmental Processes. Modelling for environmental and ecological processes / Alan E. Gelfand ; Time series methodology / Peter F. Craigmile ; Dynamic models / Alexandra M. Schmidt and Hedibert F. Lopes ; Geostatistical modeling for environmental processes / Sudipto Banerjee ; Spatial and spatio-temporal point processes in ecological applications / Janine B. Illian ; Data assimilation / Veronica J. Berrocal ; Univariate and multivariate extremes for the environmental sciences / Daniel Cooley, Brett D. Hunter, and Richard L. Smith ; Environmental sampling design / Dale L. Zimmerman and Stephen T. Buckland ; Accommodating so many zeros : univariate and multivariate data / James S. Clark and Alan E. Gelfand ; Gradient analysis of ecological communities (ordination) / Michael W. Palmer -- II : Topics in ecological processes. Species distribution models / Otso Ovaskainen ; Capture-recapture and distance sampling to estimate population sizes / Richard J. Barker ; Animal movement models / Mevin Hooten and Devin Johnson ; Population demography for ecology / Ken Newman ; Statistical methods for modeling traits / Matthew Aiello-Lammens and John A. Silander, Jr. ; Statistical models of vegetation fires : spatial and temporal patterns / J.M.C. Pereira and K.F. Turkman ; Spatial statistical models for stream networks / Jay M. Ver Hoef, Erin E. Peterson, and Daniel J. Isaak -- III. Topics in environmental exposure. Statistical methods for exposure assessment / Montse Fuentes, Brian J Reich, and Yen-Ning Huang ; Alternative models for estimating air pollution exposures - land use regression and Stochastic Human Exposure and Dose Simulation for particulate matter (SHEDS-PM) / Joshua L. Warren and Michelle L. Bell ; Preferential sampling of exposure levels / Peter J Diggle and Emanuele Giorgi ; Monitoring network design / James V. Zidek and Dale L. Zimmerman ; Statistical methods for source apportionment / Jenna R. Krall and Howard H. Chang ; Statistical methods for source apportionment / Jenna R. Krall and Howard H. Chang ; Statistical methods for environmental epidemiology / Francesca Dominici and Ander Wilson ; Connecting exposure to outcome : exposure assessment / Adam A. Szpiro ; Environmental epidemiology study designs / Lianne Sheppard -- IV : Topics in climatology. Modeling and assessing climatic trends / Peter F. Craigmile and Peter Guttorp ; Climate modelling / David B. Stephenson ; Spatial analysis in climatology / Douglas Nychka and Christopher K. Wikle -- Assimilating data into models / Amarjit Budhiraja, Eric Friedlander, Colin Guider, Christopher KRT Jones, and John Maclean ; Spatial extremes / Anthony C. Davison, Raphaël Huser, and Emeric Thibaud ; Statistics in oceanography / Christopher K. Wikle ; Paleoclimate reconstruction : looking backwards to look forward / Peter F. Craigmile, Murali Haran, Bo Li, Elizabeth Mannshardt, Bala Rajaratnam, and Martin Tingley ; Climate change detection and attribution / Dorit Hammerling, Matthias Katzfuss, and Richard Smith ; Health risks of climate variability and change / Kristie L. Ebi, David Hondula, Patrick Kinney, Andrew Monaghan, Cory W. Morin, Nick Ogden, and Marco Springmann. | |
| 545 | 0 | |a Alan E. Gelfand is the James B. Duke Professor of Statistical Science at Duke University. He is a leader in Bayesian spatial modeling and analysis including a successful book in this area with Banerjee and Carlin. Montserrat (Montse) Fuentes, Ph. D., became dean of the Virginia Commonwealth University College of Humanities and Sciences on July 1, 2016. She came to VCU from North Carolina State University, where she served as the head of the Department of Statistics and James M. Goodnight Distinguished Professor of Statistics. She also served as center director for the Research Network for Statistical Methods for Atmospheric and Oceanic Sciences, a research collaborative funded by the National Science Foundation. She received a dual bachelor's degree in mathematics and music (piano) from the University of Valladolid in Spain and a Ph. D. in statistics from the University of Chicago. Jennifer A. Hoeting is a Professor of Statistics at Colorado State University, where she has worked since 1994. She received her PhD from the University of Washington. Richard L. Smith is Mark L. Reed III Distinguished Professor of Statistics and Professor of Biostatistics in the University of North Carolina, Chapel Hill. From 2010-2017 he was also Director of the Statistical and Applied Mathematical Sciences Institute, a Mathematical Sciences Institute supported by the National Science Foundation, and he will continue (through June 2018) as Associate Director of SAMSI. He obtained his PhD from Cornell University and previously held academic positions at Imperial College (London), the University of Surrey (Guildford, England) and Cambridge University. His main research interest is environmental statistics and associated areas of methodological research such as spatial statistics, time series analysis and extreme value theory. He is particularly interested in statistical aspects of climate change research, and in air pollution including its health effects. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, an Elected Member of the International Statistical Institute, and has won the Guy Medal in Silver of the Royal Statistical Society, and the Distinguished Achievement Medal of the Section on Statistics and the Environment, American Statistical Association. In 2004 he was the J. Stuart Hunter Lecturer of The International Environmetrics Society (TIES). He is also a Chartered Statistician of the Royal Statistical Society. | |
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Environmental sciences |x Statistical methods. | |
| 650 | 0 | |a Ecology |x Statistical methods. | |
| 650 | 6 | |a Sciences de l'environnement |x Méthodes statistiques. | |
| 650 | 0 | 7 | |a NATURE |x Ecology. |2 bisacsh |
| 650 | 0 | 7 | |a SCIENCE |x Environmental Science. |2 bisacsh |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a NATURE |x Ecology. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Environmental Science. |2 bisacsh | |
| 650 | 7 | |a Ecology |x Statistical methods |2 fast | |
| 650 | 7 | |a Environmental sciences |x Statistical methods |2 fast | |
| 655 | 7 | |a handbooks. |2 aat | |
| 655 | 7 | |a Handbooks and manuals. |2 lcgft | |
| 655 | 7 | |a Guides et manuels. |2 rvmgf | |
| 700 | 1 | |a Fuentes, Montse, |e author. | |
| 700 | 1 | |a Hoeting, Jennifer A. |q (Jennifer Ann), |d 1966- |e author. |1 https://id.oclc.org/worldcat/entity/E39PBJrrvpM6tTwFjwt3BjwXBP | |
| 700 | 1 | |a Smith, Richard L., |d 1953- |e author. | |
| 758 | |i has work: |a Handbook of environmental and ecological statistics (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGvCbHqxqmmk7cbb99Mqw3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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