Inflated Bivariate Random Effect Models for Mixed Power Series Normal Responses

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ESMAEILZADEH M.; Bahrami Samani E.

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Journal Paper

Paper Information

Journal: JOURNAL OF STATISTICAL SCIENCES Year:2020 | Volume:13 | Issue:2 Page(s): 0-0

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Information Journal Paper

Title

Inflated Bivariate Random Effect Models for Mixed Power Series Normal Responses

Author(s)

ESMAEILZADEH M. | Bahrami Samani E. | Issue Writer Certificate

Keywords

Joint modelingQ1

Mixed dataQ1

Inflated modelsQ1

Random effectsQ1

Abstract

This paper will analyze inflated bivariate mixed count data. The estimations of model parameters are obtained by the maximum likelihood method. For a bivariate case which has inflation in one or two points, the new bivariate inflated power series distributions are presented. These inflated distributions are used in Joint modeling of bivariate count responses. Also, to illustrate the utility of the proposed models, some simulation studies are performed. and finally, a real dataset is analyzed.

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APA: Copy

ESMAEILZADEH, M., & Bahrami Samani, E.. (2020). Inflated Bivariate Random Effect Models for Mixed Power Series Normal Responses. JOURNAL OF STATISTICAL SCIENCES, 13(2 ), 0-0. SID. https://sid.ir/paper/397913/en

Vancouver: Copy

ESMAEILZADEH M., Bahrami Samani E.. Inflated Bivariate Random Effect Models for Mixed Power Series Normal Responses. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2020;13(2 ):0-0. Available from: https://sid.ir/paper/397913/en

IEEE: Copy

M. ESMAEILZADEH, and E. Bahrami Samani, “Inflated Bivariate Random Effect Models for Mixed Power Series Normal Responses,” JOURNAL OF STATISTICAL SCIENCES, vol. 13, no. 2 , pp. 0–0, 2020, [Online]. Available: https://sid.ir/paper/397913/en

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