
Handbook of Environmental and Ecological Statistics by Alan E Gelfand
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes.-
Handbook of Statistics of Extremes
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Handbook of Markov Chain Monte Carlo
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Handbook of Statistical Methods for Case-Control Studies
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Handbook of Meta-Analysis
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Handbook of Mixture Analysis
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Handbook of Graphical Models
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Handbook of Neuroimaging Data Analysis
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Handbook of Bayesian Variable Selection
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Handbook of Survival Analysis
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Handbook of Statistical Methods for Randomized Controlled Trials
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Handbook of Quantile Regression
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Handbook of Cluster Analysis
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Handbook of Design and Analysis of Experiments
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Handbook of Forensic Statistics
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Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials
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Handbook of Infectious Disease Data Analysis
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Handbook of Approximate Bayesian Computation
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Handbook of Spatial Statistics
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Handbook of Missing Data Methodology
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Handbook of Generalized Pairwise Comparisons
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Handbook of Sharing Confidential Data
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Handbook of Statistical Methods for Precision Medicine
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Handbook of Multiple Comparisons
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Handbook of Spatial Epidemiology
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Handbook of Discrete-Valued Time Series
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Handbook of Measurement Error Models
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Handbook of Bayesian, Fiducial, and Frequentist Inference
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Longitudinal Data Analysis
"This is an extremely well-composed book, offering an interdisciplinary exposure to the concepts and methods that are very valuable to perform environmental and ecological data analysisThe contributors are recognized experts in the topics of their writing...Noteworthy features in this book are introducing uncertainty, anisotropy and non-stationarity, threshold exceedance, coenospace, stochasticity, tail-down models, entropy-based design among others...I highly recommend this book to environmental, climate, statistics and computing researchers and practicing professionals."
- Ramalingam Shanmugam, JSCS, Aug 2020
"Overall, this Handbook is a comprehensive collection of key “textbook” concepts from a wide range of statistical modeling frameworks, as well as evolving and newly emerging methodologies that at present only appear in the form of research articles outside of this book. Many of the concepts are accompanied by illustrative examples and references that are contemporary and accessible. I find this book to be a valuable resource for both research by and teaching to “a broad range of quantitative researchers” (as advertised in the Preface). I envision much of the contents of this book to become canonical in the environmental and ecological modeling literature in the near future."
- Grace S. Chiu, Journal of the American Statistical Association, March 2021
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.
| SKU | Unavailable |
| ISBN 13 | 9781498752022 |
| ISBN 10 | 1498752020 |
| Title | Handbook of Environmental and Ecological Statistics |
| Author | Alan E Gelfand |
| Series | Chapman And Hall Crc Handbooks Of Modern Statistical Methods |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | CRC Press LLC |
| Year published | 2019-02-11 |
| Number of pages | 876 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



























