Quantitative Analyses in Wildlife Science (Hardcover)

List of Contributors
Foreword, by R. J. Gutierrez
Preface
Acknowledgments

1 Introduction
Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot

PART I GENERAL STATISTICAL METHODS
2 Regression: Linear and Nonlinear, Parametricband 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

Index