Sensitivity Analysis: Matrix Methods in Demography and Ecology
暫譯: 敏感度分析：人口學與生態學中的矩陣方法
Caswell, Hal
- 出版商: Springer
- 出版日期: 2019-04-11
- 售價: $2,610
- 貴賓價: 9.5 折 $2,480
- 語言: 英文
- 頁數: 299
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030105334
- ISBN-13: 9783030105334
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相關主題
商品描述
This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes.
The calculations are easily and accurately implemented in matrix-oriented programming languages such as Matlab or R. Sensitivity analysis will help readers create models to predict the effect of future changes, to evaluate policy effects, and to identify possible evolutionary responses to the environment.
Complete with many examples of the application, the book will be of interest to researchers and graduate students in human demography and population biology. The material will also appeal to those in mathematical biology and applied mathematics.
商品描述(中文翻譯)
這本開放存取的書籍展示了如何在人口學中使用敏感度分析。它提出了針對個體、群體和整體人口的新方法，並應用於人類、其他動物和植物。這些分析基於年齡分類、階段分類和多狀態人口模型的矩陣公式。書中介紹了線性和非線性、確定性和隨機性，以及時間不變和時間變化的情況下的方法。讀者將發現有關壽命統計、生命差異、佔用時間、淨生殖率以及人口學中馬可夫鏈模型統計的敏感度結果。他們還將看到敏感度分析在人口增長率、穩定人口結構、生殖價值、移民和非線性下的平衡以及人口週期中的應用。個體隨機性是貫穿始終的主題，重點不僅在於期望值，還包括人口結果的變異數。
這些計算可以在以矩陣為導向的程式語言中輕鬆且準確地實現，例如 Matlab 或 R。敏感度分析將幫助讀者創建模型，以預測未來變化的影響、評估政策效果，並識別對環境的可能演化反應。
這本書包含許多應用範例，將吸引人類人口學和人口生物學的研究人員及研究生。這些材料也將吸引數學生物學和應用數學領域的人士。
作者簡介
His research interests include the theory of matrix population models and their applications to evolutionary demography, conservation and the effects of climate change, health demography, lifetime reproductive output and fertility, and the interaction of stochasticity and heterogeneity in populations. In addition to his work on humans, he has studied the demography of polar bears, penguins, nematodes, and terrestrial plants. Much of this work involves sensitivity analysis, the topic of this volume.
Caswell has been recognized by numerous international awards and fellowships in both human demography and ecology. He is the author of Matrix Population Models (2nd edition, Sinauer Associates, 2001) and co-author with the late Nathan Keyfitz of Applied Mathematical Demography (3rd edition, Springer-Verlag).
作者簡介(中文翻譯)
哈爾·卡斯威爾（Hal Caswell）是一位數學人口學家和生態學家，專門研究人口的矩陣模型。他與伍茲霍爾海洋研究所（Woods Hole Oceanographic Institution）和馬克斯·普朗克人口研究所（Max Planck Institute for Demographic Research）有著長期的合作關係，目前是阿姆斯特丹大學（University of Amsterdam）數學人口學與生態學的教授。
他的研究興趣包括矩陣人口模型的理論及其在進化人口學、保育、氣候變遷影響、健康人口學、終生生殖產出與生育率，以及隨機性與人口異質性之間的互動等方面的應用。除了對人類的研究外，他還研究了北極熊、企鵝、線蟲和陸生植物的人口學。這些研究中的大部分涉及敏感度分析，這也是本書的主題。
卡斯威爾因其在人口學和生態學方面的貢獻而獲得了多項國際獎項和獎學金。他是《矩陣人口模型》（Matrix Population Models，第二版，Sinauer Associates，2001）的作者，並與已故的內森·基菲茲（Nathan Keyfitz）共同撰寫了《應用數學人口學》（Applied Mathematical Demography，第三版，Springer-Verlag）。
