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|a eng
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|b السعودية
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|9 784008
|a Alomair, Gadir
|e Author
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|a Evaluating the Performance of Mixed Zero-Inflated Poisson Regression Models with Time-Dependent and Time-Independent Covariates
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260 |
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|b جامعة الملك فيصل
|c 2024
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300 |
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|a 30 - 34
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|a بحوث ومقالات
|b Article
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|b One of the issues that researchers may encounter in count data is having many zeros. One of the solutions to model these data is using zero-inflated Poisson (ZIP) regression models. Recently, researchers have started to model longitudinal count data with time-dependent covariates. However, it has not been considered whether a model with time-dependent covariates provides a better fit than a model with time independent covariates. In this paper, the fit between a mixed ZIP model with time dependent covariates and a mixed ZIP model with time-independent covariates is compared using simulation. Using the deviance information criterion as a measure of fit, we found that the model with time-dependent covariates exhibits a better fit than the model with time-independent covariates.
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|a علم الاحتمالات
|a انحدار بواسون
|a المتغيرات المستقلة
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692 |
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|b Correlated Data
|b Count Data
|b Excess Zeros
|b Longitudinal
|b Mixed Models
|b Model Fit
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773 |
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|c 006
|e Scientific Journal of King Faisal University - Basic and Applied Sciences
|f almajalat aleilmiat lijamieat almalik fysl. aleulum al'asasiat waltatbiqia
|l 001
|m مج25, ع1
|o 0184
|s المجلة العلمية لجامعة الملك فيصل - العلوم الأساسية والتطبيقية
|v 025
|x 1658-0311
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856 |
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|u 0184-025-001-006.pdf
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|d y
|p y
|q n
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|a science
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999 |
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|c 1478278
|d 1478278
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