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相关论文: A Contribution to the Theory Behind the Capture-Re…

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We explore the use of a sufficient statistic based on the identified members that are obtained for samples that are selected under the $M_0$ capture-recapture closed population model (Schwarz and Seber, 1999). A Rao-Blackwellized version of…

统计方法学 · 统计学 2018-11-30 Kyle Vincent

Sufficient statistics are derived for the population size and parameters of commonly used closed population mark-recapture models. Rao-Blackwellization details for improving estimators that are not functions of the statistics are presented.…

统计方法学 · 统计学 2020-01-30 Kyle Vincent

We introduce a new sufficient statistic for the population parameter vector by allowing for the sampling design to first be selected at random amongst a set of candidate sampling designs. In contrast to the traditional approach in survey…

统计理论 · 数学 2014-11-11 Kyle Vincent , Christopher S. Henry

Capture-recapture methods for estimating the total size of elusive populations are widely-used, however, due to the choice of estimator impacting upon the results and conclusions made, the question of performance of each estimator is…

统计方法学 · 统计学 2023-12-15 Layna Charlie Dennett , Dankmar Böhning

Population size estimation based on capture-recapture experiment under triple record system is an interesting problem in various fields including epidemiology, population studies, etc. In many real life scenarios, there exists inherent…

统计方法学 · 统计学 2022-01-04 Kiranmoy Chatterjee , Prajamitra Bhuyan

Population size estimation based on two sample capture-recapture type experiment is an interesting problem in various fields including epidemiology, pubic health, population studies, etc. The Lincoln-Petersen estimate is popularly used…

统计方法学 · 统计学 2019-01-21 Kiranmoy Chatterjee , Prajamitra Bhuyan

The collection of capture-recapture data often involves collecting data on numerous capture occasions over a relatively short period of time. For many study species this process is repeated, for example annually, resulting in capture…

统计方法学 · 统计学 2018-10-25 Hannah Worthington , Rachel McCrea , Ruth King , Richard Griffiths

The paper describes a new class of capture-recapture models for closed populations when individual covariates are available. The novelty consists in combining a latent class model for the distribution of the capture history, where the class…

统计方法学 · 统计学 2021-11-08 Antonio Forcina , Francesco Bartolucci

Estimation of population size using incomplete lists (also called the capture-recapture problem) has a long history across many biological and social sciences. For example, human rights and other groups often construct partial and…

统计方法学 · 统计学 2021-08-03 Manjari Das , Edward H. Kennedy , Nicholas P. Jewell

While non-invasive sampling is more and more commonly used in capture-recapture (CR) experiments, it carries a higher risk of misidentifications than direct observations. As a consequence, one must screen the data to retain only the…

定量方法 · 定量生物学 2023-04-04 Rémi Fraysse , Rémi Choquet , Carlo Costantini , Roger Pradel

Capture-recapture data are often collected when abundance estimation is of interest. In the presence of unobserved individual heterogeneity, specified on a continuous scale for the capture probabilities, the likelihood is not generally…

统计方法学 · 统计学 2017-10-13 Ruth King , Brett T. McClintock , Darren Kidney , David Borchers

The purpose of writing this book is to suggest some improved estimators using auxiliary information in sampling schemes like simple random sampling and systematic sampling. This volume is a collection of five papers. The following problems…

统计理论 · 数学 2013-08-28 Rajesh Singh , Florentin Smarandache

We present a new design and inference method for estimating population size of a hidden population best reached through a link-tracing design. The strategy involves the Rao-Blackwell Theorem applied to a sufficient statistic markedly…

统计方法学 · 统计学 2014-11-26 Kyle Vincent , Steve Thompson

We investigate a Poisson sampling design in the presence of unknown selection probabilities when applied to a population of unknown size for multiple sampling occasions. The fixed-population model is adopted and extended upon for inference.…

统计方法学 · 统计学 2020-01-30 Kyle Vincent , Saman Muthukumarana

Log-linear models are often used to estimate the size of a closed population using capture-recapture data. When capture probabilities are related to auxiliary covariates, one may select a separate model based on each of several post-strata.…

统计方法学 · 统计学 2014-06-11 Zachary T. Kurtz

Ecologists increasingly rely on Bayesian methods to fit capture-recapture models. Capture-recapture models are used to estimate abundance while accounting for imperfect detectability in individual-level data. A variety of implementations…

统计方法学 · 统计学 2023-02-01 Mevin B Hooten , Michael R Schwob , Devin S Johnson , Jacob S. Ivan

Capture-recapture methods aim to estimate the size of a closed population on the basis of multiple incomplete enumerations of individuals. In many applications, the individual probability of being recorded is heterogeneous in the…

统计方法学 · 统计学 2016-06-08 James E. Johndrow , Kristian Lum , Daniel Manrique-Vallier

We develop a multi-state model to estimate the size of a closed population from ecological capture-recapture studies. We consider the case where capture-recapture data are not of a simple binary form, but where the state of an individual is…

应用统计 · 统计学 2017-08-02 Hannah Worthington , Rachel S. McCrea , Ruth King , Richard A. Griffiths

Capture-recapture studies are widely used to obtain information about abundance (population size or density) of animal populations. A common design is that in which multiple distinct populations are sampled, and the research objective is…

统计方法学 · 统计学 2012-11-27 J. Andrew Royle , Sarah J. Converse , William A. Link

Capture-recapture experiments are widely used to estimate the abundance of a finite population. Based on capture-recapture data, the empirical likelihood (EL) method has been shown to outperform the conventional conditional likelihood (CL)…

统计方法学 · 统计学 2025-07-15 Yang Liu , Pengfei Li , Yukun Liu
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