The Generalized Estimating Equations for the Unknown Correlation Structure of the Data

The Generalized Estimating Equations for the Unknown Correlation Structure of the Data

Md. Soyebur Rahman MSc. in Statistics

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Shayla Naznin

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Gowranga Kumar Paul

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Jahangirnagar University

The Generalized Estimating Equations for the Unknown Correlation Structure of the Data

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References

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Yue-Cune Chang (2000). Residual analysis of the Generalized Linear Models for Longitudinal Data.
J Hardin,J Hilbe (2003). Generalized Estimating Equations.
T Liao,F (1994). Interpreting Probability Models Logit, probit, and other Generalized Linear Models.
Kung-Yee Liang,Scott Zeger (1986). Longitudinal data analysis using generalized linear models.
P Mc Cullagh,J Nelder (1989). Generalized Linear Models.
J Neter,W Wasserman,M Kutner (1990). Applied Linear Statistical Models : 7. Regression, Analysis of variance, and Experimental Designs.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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How to Cite This Article

Md. Soyebur Rahman. 2016. \u201cThe Generalized Estimating Equations for the Unknown Correlation Structure of the Data\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 16 (GJCST Volume 16 Issue G1): .

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GJCST Volume 16 Issue G1
Pg. 21- 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

GJCST-G Classification: G.1.5, G.1.6

Submission ReceivedDecember 6, 2015
Peer Review Double Blind
Handling Editor
Accepted January 3, 2016
Published January 15, 2016

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v1.2

Issue date

August 19, 2016

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Total Score: 103

Country: Unknown

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Md. Soyebur Rahman, Shayla Naznin, Gowranga Kumar Paul (PhD/Dr. count: 0)

View Count (all-time): 262

Total Views (Real + Logic): 7413

Total Downloads (simulated): 1877

Publish Date: 2016 08, Fri

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Total Views: 7413

Total Downloads: 1877

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