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000857663 019__ $$a1080647444
000857663 020__ $$a9783030015848$$q(electronic book)
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000857663 24500 $$aQuantitative Methods in Environmental and Climate Research /$$cMichela Cameletti, Francesco Finazzi, editors.
000857663 260__ $$aCham :$$bSpringer,$$c2018.
000857663 300__ $$a1 online resource (141 pages)
000857663 336__ $$atext$$btxt$$2rdacontent
000857663 337__ $$acomputer$$bc$$2rdamedia
000857663 338__ $$aonline resource$$bcr$$2rdacarrier
000857663 5050_ $$aIntro; Preface; Contents; Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters; 1 Introduction; 2 Scan Methods for the Detection of Disease Clusters; 2.1 Spatial Scan Methods; 2.2 Classification of Disease; 3 Classification of Disease: Generalised Linear Models; 3.1 Adjustment for Relevant Covariates; 4 Bayesian Hierarchical Models for the Detection of Disease Clusters; 4.1 Detection of Clusters; 4.2 Cluster Selection; 4.3 Number of Clusters; 5 Classification of Disease: Generalised Mixed-Effects Models; 5.1 Motivation; 5.2 GLM with Random Effects
000857663 5058_ $$a5.3 Selection and Number of Clusters Using GLMM6 Classification of Disease: Zero-Inflated Models; 6.1 Cluster Selection; 7 Space-Time Clusters; 8 Simulation Study; 9 Examples; 9.1 Cancer in Upstate New York; 9.1.1 Spatial Scan Statistic; 9.1.2 Cluster Selection Using GLMs; 9.1.3 Cluster Selection Using GLMMs; 9.2 Analysis of Zero-Inflated Data: Brain Cancer in Navarre, Spain; 10 Discussion; References; A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data; 1 Introduction; 2 Age-Specific Harvest Data; 3 Model Development; 3.1 Harvest Leslie Matrix Model
000857663 5058_ $$a3.2 Beta Distribution-Based Hierarchical Multinomial Model4 Simulation Study; 4.1 Generating Data; 4.1.1 Matrix Parameter Settings; 4.1.2 Matrix Randomness Settings; 4.2 Results; 5 Motivating Example; 6 Conclusion; Appendix; References; Detection of Change Points in Spatiotemporal Data in the Presence of Outliers and Heavy-Tailed Observations; 1 Introduction; 2 The GSTAR Model-Based Procedure of Change-Point Detection in the Daily Spatiotemporal Data; 2.1 The GSTAR Model; 2.2 The Estimation; 2.2.1 Initial Values; 2.2.2 The MEM-Type Algorithm; 2.3 The Change-Point Detection Procedure
000857663 5058_ $$a3 Application3.1 A Real Data Example; 3.2 A Simulated Example; 3.2.1 Data with Outliers; 3.2.2 The Change-Point Detection; 4 Conclusions; Appendix; References; Modeling Spatiotemporal Mismatch for Aerosol Profiles; 1 Introduction; 2 Metrology of a Data Comparison and Associated Errors; 3 Aerosol Profiles: Comparison of CALIOP/CALIPSO and EARLINET; 3.1 CALIOP/CALIPSO Description; 3.1.1 CALIOP Sampling; 3.1.2 CALIOP Smoothing; 3.2 EARLINET Description; 3.2.1 EARLINET Sampling; 3.2.2 EARLINET Smoothing; 4 Comparison Setup; 5 Horizontal Smoothing; 6 Vertical Splitting; 7 Conclusions; References
000857663 5058_ $$aA Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile1 Introduction; 2 Preliminary Analysis; 2.1 The Data Sets; 2.2 Preliminary Statistical Analysis; 2.3 The Data Sets; 3 Space-Time Regression Modeling; 4 Results; 4.1 Spatiotemporal Estimation; 5 Conclusions and Further Developments; References; Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998-2016; 1 Introduction; 2 Data; 2.1 Tropical Precipitation Measuring Mission (TRMM); 2.2 Large-Scale Atmospheric and Climate Indices; 3 Methods; 3.1 Space-Time Empirical Orthogonal Function Analysis
000857663 506__ $$aAccess limited to authorized users.
000857663 588__ $$aDescription based on print version record.
000857663 650_0 $$aClimatology$$xResearch$$vCongresses.
000857663 650_0 $$aEcology$$xResearch$$vCongresses.
000857663 7001_ $$aCameletti, Michela.
000857663 7001_ $$aFinazzi, Francesco.
000857663 77608 $$iPrint version:$$aCameletti, Michela$$tQuantitative Methods in Environmental and Climate Research$$dCham : Springer,c2018$$z9783030015831
000857663 852__ $$bebk
000857663 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-01584-8$$zOnline Access$$91397441.1
000857663 909CO $$ooai:library.usi.edu:857663$$pGLOBAL_SET
000857663 980__ $$aEBOOK
000857663 980__ $$aBIB
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000857663 983__ $$aOnline
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