论文标题
对气候变化的迁移反应中的物质分析的分位数回归与线性回归的比较
A Comparison Between Quantile Regression and Linear Regression on Empirical Quantiles for Phenological Analysis in Migratory Response to Climate Change
论文作者
论文摘要
众所周知，一般来说，迁徙鸟类已经在春季到来，在本文中，我们研究了在未来物候分析中提高细节水平的潜在方法。我们使用线性模型对经验分位数，非参数分位数回归和基于可能性的参数分位数回归进行了线性模型进行单一和多种物种分析，并使用不对称的laplace分布式误差项。我们得出的结论是，非参数分位数回归似乎最适合单一和多种物种分析。
It is well established that migratory birds in general have advanced their arrival times in spring, and in this paper we investigate potential ways of enhancing the level of detail in future phenological analyses. We perform single as well as multiple species analyses, using linear models on empirical quantiles, non-parametric quantile regression and likelihood-based parametric quantile regression with asymmetric Laplace distributed error terms. We conclude that non-parametric quantile regression appears most suited for single as well as multiple species analyses.
