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Foreword / by R.J. GutiƩrrez
Preface
Acknowledgments
1. Introduction / Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot
Part I. General statistical methods. 2. Regression : linear and nonlinear, parametric and nonparametric / David B. Wester ; 3. Multivariate models and analyses / Erica F. Stuber, Christopher C. Chizinski, Jeffrey J. Lusk, and Joseph J. Fontaine ; 4. Comparing ecological models / Mevin B. Hooten and Evan G. Cooch
Part II. Estimation of abundance and demographic parameters. 5. Estimation of population parameters using marked animals / Gary C. White ; 6. Distance sampling / Stephen T. Buckland, David L. Miller, and Eric Rexstad ; 7. Occupancy modeling applications / Chris Sutherland and Daniel W. Linden
Part III. Dynamic modeling of processes. 8. Analysis of population monitoring data / Jamie S. Sanderlin, Michael L. Morrison, and William M. Block ; 9. Systems analysis and simulation / Stephen J. DeMaso and Joseph P. Sands ; 10. Applications of individual-based models / Julie A. Heinrichs and Bruce G. Marcot ; 11. Detecting and analyzing density dependence / Zachary S. Ladin and Christopher K. Williams
Part IV. Analysis of spatially based data on animals and resources. 12. Resource selection analysis / Julianna M.A. Jenkins, Damon B. Lesmeister, and Raymond J. Davis ; 13. Spatial statistics in wildlife research / Andrew N. Tri
Part V. Numerical methods. 14. Bayesian analysis of molecular genetics data / Damon L. Williford and Randy W. DeYoung ; 15. Machine learning, random forests, and boosted regression trees / Jane Elith ; 16. Causal modeling and the role of expert knowledge / Bruce G. Marcot
17. Summary and synthesis : looking to the future / Andrew N. Tri, Bruce G. Marcot, and Leonard A. Brennan.

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