Local polynomial modelling and its applications
Local polynomial modelling and its applications
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DOI：
10.1007/978-1-4899-3150-4
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
Jianqing Fan;I. Gijbels
中科院分区：
文献类型：
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作者：
Jianqing Fan;I. Gijbels
回归问题的数据分析方法，产生于许多科学学科在这本书中描述。这些非参数方法的目的是放松对回归函数形式的假设，并让数据搜索一个合适的函数来描述数据。使用这些非参数函数和参数技术可以产生非常强大的数据分析工具。局部多项式建模及其应用提供了一个最新的图片国家的最先进的非参数回归技术。这本书的重点是方法论而不是理论，特别关注非参数技术在各种统计问题中的应用。本书介绍了高维数据分析工具，并包括各种示例。这将是一个有价值的参考研究和应用统计学家，并将作为一本教科书的研究生和其他感兴趣的非参数回归。
Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.