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Bayesian Applications in Environmental and Ecological Studies with R and Stan (Hardcover)
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Bayesian Applications in Environmental and Ecological Studies with R and Stan (Hardcover)
Series: Chapman & Hall/CRC Applied Environmental Statistics
Expected to ship within 9 - 15 working days
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Modern ecological and environmental sciences are dominated by
observational data. As a result, traditional statistical training
often leaves scientists ill-prepared for the data analysis tasks
they encounter in their work. Bayesian methods provide a more
robust and flexible tool for data analysis, as they enable
information from different sources to be brought into the modelling
process. Bayesian Applications in Evnironmental and Ecological
Studies with R and Stan provides a Bayesian framework for model
formulation, parameter estimation, and model evaluation in the
context of analyzing environmental and ecological data. Features:
An accessible overview of Bayesian methods in environmental and
ecological studies Emphasizes the hypothetical deductive process,
particularly model formulation Necessary background material on
Bayesian inference and Monte Carlo simulation Detailed case
studies, covering water quality monitoring and assessment,
ecosystem response to urbanization, fisheries ecology, and more
Advanced chapter on Bayesian applications, including Bayesian
networks and a change point model Complete code for all examples,
along with the data used in the book, are available via GitHub The
book is primarily aimed at graduate students and researchers in the
environmental and ecological sciences, as well as environmental
management professionals. This is a group of people representing
diverse subject matter fields, who could benefit from the potential
power and flexibility of Bayesian methods.
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