<abstract xmlns="http://www.w3.org/1999/xhtml"><p>With the possibility of dependence between the sources in a capture-recapture type experiment, identification of the direction of such dependence in dual system of data collection is vital. This has a wide range of applications, including in the domains of public health, official statistics and social sciences. Owing to the insufficiency of data for analyzing a behavioral dependence model in dual system, our contribution lies in the construction of several strategies that can identify the direction of underlying dependence between the two lists in the dual system, that is, whether the two lists are positively or negatively dependent. Our proposed classification strategies would be quite appealing for improving the inference as evident from recent literature. Simulation studies are carried out to explore the comparative performance of the proposed strategies. Finally, applications on three real data sets from various fields are illustrated.</p></abstract>

With the possibility of dependence between the sources in a capture-recapture type experiment, identification of the direction of such dependence in dual system of data collection is vital. This has a wide range of applications, including in the domains of public health, official statistics and social sciences. Owing to the insufficiency of data for analyzing a behavioral dependence model in dual system, our contribution lies in the construction of several strategies that can identify the direction of underlying dependence between the two lists in the dual system, that is, whether the two lists are positively or negatively dependent. Our proposed classification strategies would be quite appealing for improving the inference as evident from recent literature. Simulation studies are carried out to explore the comparative performance of the proposed strategies. Finally, applications on three real data sets from various fields are illustrated.

Identifying the Direction of Behavioral Dependence in Two-Sample Capture-Recapture Study

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

With the possibility of dependence between the sources in a capture-recapture type experiment, identification of the direction of such dependence in dual...

Identifying the Direction of Behavioral Dependence in Two-Sample Capture-Recapture Study

Online veröffentlicht: 17. März 2020

Seitenbereich: 25 - 48

Eingereicht: 01. Nov. 2017

Akzeptiert: 01. Nov. 2019

DOI: https://doi.org/10.2478/jos-2020-0002

Schlüsselwörter
Classification, direction of behavioral dependence, human population, randomized rule, recapture probability

© 2020 Kiranmoy Chatterjee et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Identifying the Direction of Behavioral Dependence in Two-Sample Capture-Recapture Study

Online veröffentlicht: 17. März 2020

Seitenbereich: 25 - 48

Eingereicht: 01. Nov. 2017

Akzeptiert: 01. Nov. 2019

DOI: https://doi.org/10.2478/jos-2020-0002

SchlüsselwörterClassification, direction of behavioral dependence, human population, randomized rule, recapture probability

© 2020 Kiranmoy Chatterjee et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Classification, direction of behavioral dependence, human population, randomized rule, recapture probability