A Semi-Parametric Model for Longitudinal Count Data

Kang Yin; Tian Jin

doi:10.4028/www.scientific.net/AMR.805-806.1921

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806A Semi-Parametric Model for Longitudinal Count...

A Semi-Parametric Model for Longitudinal Count Data

Abstract:

Longitudinal count data analysis has been widely used in various social science and nature science. In this paper, we proposed a semi-parametric negative multinomia model for longitudinal count data. Using local likelihood technique and marginal distribution, we proposed an estimation procedure for our new model. The finite-sample properties are studied with a simulation study.

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Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

1921-1924

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.805-806.1921

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Online since:

September 2013

Authors:

Kang Yin, Tian Jin

Keywords:

Generalized Estimating Equations (GEEs), Longitudinal Count Data, Negative Multinomial Distribution, Nonparametric Kernel Estimation

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