On fitting a population model in the presence of observation error

被引：27

作者：

Solow, AR ^{[1
]}

机构：

[1] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA

来源：

ECOLOGY | 1998年 / 79卷 / 04期

关键词：

logistic model; observation error and bias; population models; SIMEX estimation;

D O I：

10.2307/176759

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Observation error can lead to substantial bias in estimating the parameters of a population model. While maximum-likelihood estimation is possible in principle, it can be extremely difficult in practice due to the complicated behavior of the likelihood function. This note describes a simple method that can be used to fit a population model in the presence of observation error. The method is illustrated using the discrete-time logistic model.

引用

页码：1463 / 1466

页数：4

共 9 条

[1]

[Anonymous], 1982, ESTIMATION ANIMAL AB

[2]

[Anonymous], 1992, ANAL POPULATION ECOL

[3] LIKELIHOOD AND BAYESIAN PREDICTION OF CHAOTIC SYSTEMS [J].