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Modelling Population Dynamics : Model Formulation, Fitting and Assessment using State-Space Methods / by K. B. Newman, S. T. Buckland, B. J. T. Morgan, R. King, D. L. Borchers, D. J. Cole, P. Besbeas, O. Gimenez, L. Thomas
(Methods in Statistical Ecology. ISSN:21993203)
版 | 1st ed. 2014. |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 2014 |
本文言語 | 英語 |
大きさ | XII, 215 p. 38 illus., 21 illus. in color : online resource |
著者標目 | *Newman, K. B author Buckland, S. T author Morgan, B. J. T author King, R author Borchers, D. L author Cole, D. J author Besbeas, P author Gimenez, O author Thomas, L author SpringerLink (Online service) |
件 名 | LCSH:Biometry FREE:Biostatistics |
一般注記 | Introduction -- Matrices as Building Blocks -- State-space Models -- Fitting State-space models -- Model Formulation and Evaluation -- Modelling Population Dynamics Using Closed-population Abundance Estimates -- Estimating Survival Probabilities from Mark-re-encounter Data -- Estimating Abundance from Mark-recapture Data -- Integrated Population Modelling -- Concluding Remarks This book gives a unifying framework for estimating the abundance of open populations: populations subject to births, deaths and movement, given imperfect measurements or samples of the populations. The focus is primarily on populations of vertebrates for which dynamics are typically modelled within the framework of an annual cycle, and for which stochastic variability in the demographic processes is usually modest. Discrete-time models are developed in which animals can be assigned to discrete states such as age class, gender, maturity, population (within a metapopulation), or species (for multi-species models). The book goes well beyond estimation of abundance, allowing inference on underlying population processes such as birth or recruitment, survival and movement. This requires the formulation and fitting of population dynamics models. The resulting fitted models yield both estimates of abundance and estimates of parameters characterizing the underlying processes. HTTP:URL=https://doi.org/10.1007/978-1-4939-0977-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781493909773 |
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EB00230189 |
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