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Statistical Ecology

机译：统计生态学

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Statistical ecology deals with the development of new methodologies for analyzing ecological data. Advanced statistical models and techniques are often needed to provide robust analyses of the available data. The statistical models that are developed can often be separated into two distinct processes: a system process that describes the underlying biological system and an observation process that describes the data collection process. The system process is often a function of the demographic parameters of interest, such as survival probabilities, transition rates between states, and/or abundance, whereas the model parameters associated with the observation process are conditional on the underlying state of the system. This review focuses on a number of common forms of ecological data and discusses their associated models and model-fitting approaches, including the incorporation of heterogeneity within the given biological system and the integration of different data sources.
机译：统计生态学致力于分析生态数据的新方法的发展。通常需要先进的统计模型和技术来对可用数据进行可靠的分析。开发的统计模型通常可以分为两个不同的过程：描述基础生物系统的系统过程和描述数据收集过程的观察过程。系统过程通常是感兴趣的人口统计学参数的函数，例如生存概率，状态之间的转换率和/或丰度，而与观察过程相关的模型参数取决于系统的基础状态。这篇综述着重于生态数据的多种常见形式，并讨论了它们的相关模型和模型拟合方法，包括将异质性纳入给定的生物系统中以及整合不同的数据源。

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