Nonparametric circular methods for exploring environmental data

被引：0
作者：
María Oliveira
Rosa M. Crujeiras
Alberto Rodríguez-Casal
机构：
[1] University of Santiago de Compostela,Department of Statistics and Operations Research
来源：
Environmental and Ecological Statistics | 2013年 / 20卷
关键词：
Glacier; Circular data; Nonparametric estimation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The goal of this work is to introduce nonparametric kernel methods for density and regression estimation for circular data, and illustrate their use by a brief simulation study and real data application. Apart from supplying practitioners with a license free and easy to run code for the use of these methods, our aim is also to provide solutions to practical problems that may be encountered in their application. The real data examples belong to the International Polar Year project, concerned with the environmental change in the polar regions.
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页码：1 / 17
页数：16
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