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Estimation of population size based on additive hazards models for continuous-time recapture experiments
Yip, PSF; Zhou, Y; Lin, DY; Fang, XZ
1999-09-01
发表期刊BIOMETRICS
ISSN0006-341X
卷号55期号:3页码:904-908
摘要We use the semiparametric additive hazards model to formulate the effects of individual covariates on the capture rates in the continuous-time capture-recapture experiment, and then construct a Horvitz-Thompson-type estimator for the unknown population size. The resulting estimator is consistent and asymptotically normal with an easily estimated variance. Simulation studies show that the asymptotic approximations are adequate for practical use when the average capture probabilities exceed .5. Ignoring covariates would underestimate the population size and the coverage probability is poor. A wildlife example is provided.
关键词additive risk model capture-recapture experiment counting process Horvitz-Thompson estimator nonhomogeneous Poisson process
语种英语
WOS研究方向Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
WOS类目Biology ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000082683000035
出版者INTERNATIONAL BIOMETRIC SOC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/14088
专题应用数学研究所
通讯作者Yip, PSF
作者单位1.Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong
2.Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
3.Univ Washington, Dept Biostat, Seattle, WA 98195 USA
4.Peking Univ, Dept Stat & Probabil, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Yip, PSF,Zhou, Y,Lin, DY,et al. Estimation of population size based on additive hazards models for continuous-time recapture experiments[J]. BIOMETRICS,1999,55(3):904-908.
APA Yip, PSF,Zhou, Y,Lin, DY,&Fang, XZ.(1999).Estimation of population size based on additive hazards models for continuous-time recapture experiments.BIOMETRICS,55(3),904-908.
MLA Yip, PSF,et al."Estimation of population size based on additive hazards models for continuous-time recapture experiments".BIOMETRICS 55.3(1999):904-908.
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