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314321

Statistical Methodology for Estimating Twin Similarity for Count Data

Article

Last updated: 27 Apr 2025

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Subjects

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Tags

Estimation methods

Abstract

An approach for estimating twin similarity for the case of count data is proposed. The
methodology focuses on the Intracluster Correlation Coefficient (ICC) as the parameter of
interest. This is in analogy to the methods commonly applied for continuous random variables.
The ICC is related to the parameters of the Negative Binomial distribution. Maximum
Likelihood Estimation of the ICC's from two samples representing the two zygosity groups and
their difference is considered to study twin similarity. Point and Interval estimation are
considered, as well as testing of hypothesis.

DOI

10.21608/esju.2012.314321

Keywords

Hierarchical Modeling, Intracluster Correlation Coefficient, Negative Binomial Model, Maximum likelihood estimation, Twin Similarity

Authors

First Name

Marwa

Last Name

Abdel Gawad Ahmed

MiddleName

-

Affiliation

faculty of Economic and political science cairo University, Egypt

Email

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City

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Orcid

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Volume

56

Article Issue

1

Related Issue

43108

Issue Date

2012-06-01

Publish Date

2012-06-01

Page Start

1

Page End

15

Print ISSN

0542-1748

Online ISSN

2786-0086

Article File

ESJU_Volume 56_Issue 1_Pages 1-15.pdf

PDF . 5.5MB

Link

https://esju.journals.ekb.eg/article_314321.html

Detail API

http://journals.ekb.eg?_action=service&article_code=314321

Order

1

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Statistical Methodology for Estimating Twin Similarity for Count Data

Details

Type

Article

Created At

28 Dec 2024