TY  - BOOK
AU  - Thomson,David L.
AU  - Cooch,Evan G.
AU  - Conroy,Michael J.
ED  - SpringerLink (Online service)
TI  - Modeling Demographic Processes In Marked Populations
T2  - Environmental and Ecological Statistics
SN  - 9780387781518
U1  - 519.5 23
PY  - 2009///
CY  - Boston, MA
PB  - Springer US, Imprint: Springer
KW  - STATISTICS
KW  - ENVIRONMENTAL SCIENCES
KW  - NATURE CONSERVATION
KW  - STATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES
KW  - MATH. APPL. IN ENVIRONMENTAL SCIENCE
N1  - Population Dynamics - Growth, Density-Dependence and Decomposing ? -- Evolutionary Ecology -- Abundance Estimation - Direct Methods, Proxies, Occupancy Models and Point Count Data -- Dispersal, Movement and Migration - Methods and Multi-State Models -- Wildlife and Conservation Management -- Combing Sources of Information - Kalman Filters, Matrix Methods and Joint Likelihoods -- Bayesian Applications - Advances, Random Effects and Hierarchical Models -- The Robust Design - Sampling, Applications and Advances -- State Uncertainty - Assignmant Error and Unobservable States -- New Software Developments for Modeling Demographic Processes -- Open Forum
N2  - Much of biology can be understood in terms of demography. It is the demographic processes of birth and death which govern rates of population growth and the rates at which gene frequencies change. The analysis of demographic processes in free-living organisms is, however, far from simple. Scientists from diverse fields in biology and statistics have united to address the challenges by developing mark-recapture methods and other approaches. Progress has been rapid, and this volume represents a snapshot of the emerging field. It has eleven sections in total, covering the most important biological and statistical frontiers, new software developments, and an open forum. It covers the latest approaches in modeling population dynamics, evolutionary ecology and wildlife biology. It addresses issues in the estimation of abundance and movement, and it covers new statistical approaches in the combination of information, Bayesian statistics, Robust Designs and the modeling of state-uncertainty
UR  - http://dx.doi.org/10.1007/978-0-387-78151-8
ER  -