Hierarchical Modeling and Inference in Ecology : The Analysis of Data from Populations, Metapopulations and Communities
J. Andrew. Royle
Bok Engelsk 2008 · Electronic books.
| Utgitt | Burlington : : Elsevier Science, , 2008.
|
|---|---|
| Omfang | 1 online resource (463 p.)
|
| Opplysninger | Description based upon print version of record.. - Front cover; Half Title page; Title page; Copyright page; Contents; Preface; 0.1 Software, Implementation and Website; 0.2 Organization of this Book; Acknowledgements; Chapter 1. Conceptual and Philosophical Considerations in Ecology and Statistics; 1.1 Science by Hierarchical Modeling; 1.2 Ecological Scales of Organization; 1.3 Sampling Biological Systems; 1.4 Ecological Inference Paradigms; 1.5 The Role of Probability and Statistics; 1.6 Statistical Inference Paradigms: Bayesian and Frequentist; 1.7 Parametric Inference; 1.8 Summary; Chapter 2. Essentials of Statistical Inference. - 10.4 Schwarz and Arnason's Formulation. - 2.1 Preliminaries2.2 The Role of Approximating Models; 2.3 Classical (Frequentist) Inference; 2.4 Bayesian Inference; 2.5 Hypothesis Testing; 2.6 Hierarchical Models; Chapter 3. Modeling Occupancy and Occurrence Probability; 3.1 Logistic Regression Models of Occurrence; 3.2 Bayesian Logistic Regression; 3.3 Models of Occupancy Allowing for Imperfect Observation; 3.4 Hierarchical Formulation of a Model for Occupancy; 3.5 Occupancy Model as a Zero-Inflated Binomial; 3.6 Encounter history Formulation; 3.7 Finite-Sample Inference; 3.8 Other Topics; 3.9 Summary; Chapter 4. Occupancy and Abundance. - 4.1 Abundance-induced Heterogeneity in Detection4.2 Prediction of Local Abundance; 4.3 Modeling Covariate Effects; 4.4 Other Model Extensions; 4.5 Functional Independence between P and Abundance; 4.6 The Variable Area Sampling Design; 4.7 Estimating Occupancy in the Absence of Replicate Samples; 4.8 Summary; Chapter 5. Inference in Closed Populations; 5.1 Fun with Multinomial Distributions; 5.2 Estimating the Size of a Closed Population; 5.3 Examples; 5.4 An Encounter History Formulation; 5.5 Other Multinomial Observation Models; 5.6 Data Augmentation; 5.7 Summary. - 8.1 A Hierarchical View of the Population8.2 Modeling Counts, Abundance, and Detectability; 8.3 Estimating Model Parameters from Data; 8.4 Summary; Chapter 9. Occupancy Dynamics; 9.1 Occupancy State Model; 9.2 A Generalized Colonization Model: Modeling Invasive Spread; 9.3 Imperfect Observation of the State Variable; 9.4 Auto-Logistic Representation; 9.5 Spatial Auto-logistic Models; 9.6 Spatio-Temporal Dynamics; 9.7 Summary; Chapter 10. Modeling Population Dynamics; 10.1 Data Augmentation; 10.2 State-Space Parameterization of the Jolly--Seber Model; 10.3 Process Model Formulations. - Chapter 6. Models with Individual Effects6.1 Individual Heterogeneity Models; 6.2 Flavors of Mh; 6.3 Inference About Species Richness; 6.4 Bayesian Analysis of Heterogeneity Models using Data Augmentation; 6.5 Individual Covariate Models; 6.6 Summary; Chapter 7. Spatial Capture--Recapture Models; 7.1 Distance Sampling as an Individual Covariate Model; 7.2 Distance Sampling with Measurement Error; 7.3 Estimating Density from Location-of-Capture Information; 7.4 Estimating Density from Trapping Arrays; 7.5 Summary; Chapter 8. Metapopulation Models of Abundance. - <