ANALYZING CURVES USING KERNEL ESTIMATORS

被引：6

作者：

GASSER, T

机构：

[1] Zentralinstitut für Seelische Gesundheit, Mannheim 1, W-6800

来源：

PEDIATRIC NEPHROLOGY | 1991年 / 5卷 / 04期

关键词：

KERNEL ESTIMATION; SMOOTHING METHODS; GROWTH;

D O I：

10.1007/BF01453679

中图分类号：

R72 [儿科学];

学科分类号：

100202 ;

摘要：

In this paper a novel statistical method for curve fitting is described and applied to growth data for illustration. This technique, called kernel estimation, is non-parametric and belongs to the class of smoothing methods. Therefore, it does not need an a priori functional model where individual parameters are determined from the data. Functional models can only reflect features which have been incorporated into the model. Recent progress in selecting the degree of smoothing from the data makes the new method more easy to use and more objective. It applies to the curve itself or to its derivatives.

引用

页码：447 / 450

页数：4

共 12 条

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