Abundance estimation based on optimal estimating function with missing covariates in capture-recapture studies

被引：1

作者：

Liu, Yang ^{[1
]}

Zhang, Xiuzhen ^{[1
,2
]}

Li, Mengke ^{[1
]}

Liu, Guanfu ^{[3
]}

Zhu, Lin ^{[4
]}

机构：

[1] East China Normal Univ, Sch Stat, Key Lab Adv Theory & Applicat Stat & Data Sci MOE, Shanghai 200062, Peoples R China

[2] Datong Univ, Sch Math & Stat, Datong 037009, Peoples R China

[3] Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai 201620, Peoples R China

[4] Renmin Univ China, Inst Stat & Big Data, Beijing 100872, Peoples R China

来源：

STATISTICS & PROBABILITY LETTERS | 2019年 / 152卷

基金：

中国国家自然科学基金;

关键词：

Abundance; Capture-recapture study; Missing at random; Optimal estimating function; LOGISTIC-REGRESSION; CONDITIONAL LIKELIHOOD;

D O I：

10.1016/j.spl.2019.04.003

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：

For the abundance parameter in capture-recapture studies with missing covariates, we propose an optimal-estimating-function-based estimator and develop a bootstrap procedure to construct the confidence interval. We illustrate our methods through simulations and the yellow-bellied prinia data. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：15 / 20

页数：6

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