Analysis of data from continuous probability distributions

被引：20
|
作者：
Holy, TE [1 ]
机构：
[1] PRINCETON UNIV,DEPT PHYS,PRINCETON,NJ 08544
来源：
PHYSICAL REVIEW LETTERS | 1997年 / 79卷 / 19期
关键词：
D O I：
10.1103/PhysRevLett.79.3545
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Given a set of points drawn from an unknown continuous probability distribution, one often wishes to infer the underlying distribution. This distribution can be estimated using a simple scalar field theory. Fluctuations around the estimate are characterized by a robust measure of goodness of fit, analogous to the conventional chi(2), whose distribution can also be calculated. The resulting method of data analysis has some advantages over conventional approaches. [S0031-9007(97)04449-9].
引用
收藏
页码：3545 / 3548
页数：4
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