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Quantitative Methods in Environmental and Climate Research

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Cover of 'Quantitative Methods in Environmental and Climate Research'

Table of Contents

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    Book Overview
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    Chapter 1 Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters
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    Chapter 2 A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data
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    Chapter 3 Detection of Change Points in Spatiotemporal Data in the Presence of Outliers and Heavy-Tailed Observations
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    Chapter 4 Modeling Spatiotemporal Mismatch for Aerosol Profiles
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    Chapter 5 A Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile
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    Chapter 6 Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998–2016
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    Chapter 7 A Hidden Markov Random Field with Copula-Based Emission Distributions for the Analysis of Spatial Cylindrical Data
Attention for Chapter 1: Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters
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