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＜電子ブック＞
Modeling Demographic Processes in Marked Populations / edited by David L. Thomson, Evan G. Cooch, Michael J. Conroy
(Environmental and Ecological Statistics. ISSN:23639679 ; 3)

版	1st ed. 2009.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2009
本文言語	英語
大きさ	XXIV, 1132 p : online resource
著者標目	Thomson, David L editor Cooch, Evan G editor Conroy, Michael J editor SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Environmental sciences -- Mathematics  全ての件名で検索 LCSH:Conservation biology LCSH:Ecology  FREE:Biostatistics FREE:Mathematical Applications in Environmental Science FREE:Conservation Biology
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-0-387-78151-8

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