Nonparametric probability density estimation
Nonparametric probability density estimation
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DOI：
10.1080/00949657208810017
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发表时间：
1972-07
影响因子：
1.2
通讯作者：
E. Wegman
中科院分区：
文献类型：
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作者：
E. Wegman
在这篇文章中，我们将有兴趣对W Epann(19‘72)中讨论的非参数密度估计进行比较。讨论了几种类型的估计，包括核估计、正交级数估计和最大似然估计。在这篇文章中，我们将冒昧地假定读者熟悉这些基本类型的估计。有关公式和算法的简要讨论可以在附录A中找到。更广泛的讨论可以在Wegman(1972)中找到。
In this paper, we shall be interested in making comparisons among the nonparametric density estimates discussed in W epan (19'72). Several types of estimates were discussed including Kernel estimates, Orthogonal Series estimates and Maximum iikeiihood estimates. In this paper, we shall take the liberty of presuming the reader is familiar with these basic types of estimates. A brief discussion of the relevant formulae and algorithms may be found in Appendix A. A more extensive discussion may be found in Wegman (1972).