ALGORITHMS FOR MONOTONIC FUNCTIONS AND THEIR APPLICATION TO ECOLOGICAL-STUDIES IN VEGETATION SCIENCE

被引：9

作者：

BAYES, AJ

MACKEY, BG

机构：

[1] The Centre for Resource and Environmental Studies, Australian National University, A.C.T., 2601, PO Box 4, Canberra

来源：

ECOLOGICAL MODELLING | 1991年 / 56卷 / 1-4期

关键词：

D O I：

10.1016/0304-3800(91)90197-9

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

New algorithms are described that provide a maximum likelihood function fit, assuming only that the function is monotonic. Methods are given for both one and two independent variables. In the case of one independent variable, the function can be piecewise monotonic. A trend line or trend contour can be constructed, based on the median of the values. Percentile lines provide the equivalent of confidence bands about the trend. The value of the maximum likelihood can be used to compare alternative models. Some advantages of these algorithms for ecological analyses in vegetation science are discussed.

引用

页码：135 / 159

页数：25

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