A Test of Nonparametric Smoothing of Diameter Distributions

被引：17

作者：

Droessler, Terry D. ^{[1
]}

Burk, Thomas E.

机构：

[1] Environm Res Lab, NSI Environm Sci, Corvallis, OR 97333 USA

来源：

SCANDINAVIAN JOURNAL OF FOREST RESEARCH | 1989年 / 4卷 / 1-4期

关键词：

nonparametric density estimation; dbh distribution;

D O I：

10.1080/02827588909382577

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

Smoothing a sample-based diameter distribution can provide a potentially better paradigm of a population distribution. Goodness-of-fit comparisons between raw cumulative distribution functions, nonparametric curves and Weibull densities fit to the raw distribution are presented based on two simulated forest stands.

引用

页码：407 / 415

页数：9

共 20 条

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