Implementing the parametric bootstrap in capture-recapture models with continuous covariates

被引：7

作者：

Zwane, EN ^{[1
]}

van der Heijden, PGM ^{[1
]}

机构：

[1] Univ Utrecht, Dept Methodol & Stat, NL-3508 TC Utrecht, Netherlands

来源：

STATISTICS & PROBABILITY LETTERS | 2003年 / 65卷 / 02期

关键词：

bootstrap; population-size estimation; capture-recapture; multinomial logit model; log-linear model;

D O I：

10.1016/j.spl.2003.07.010

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The parametric bootstrap is a method for variance estimation advocated by many researchers in multiple capture studies. Most applications thus far used the parametric bootstrap in log-linear modelling, that is, where there are possibly categorical covariates which relate to the probabilities of capture. In this article we present an algorithm for the parametric bootstrap that can be used when there are continuous covariates. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：121 / 125

页数：5

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