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- W4313144616 abstract "The objective of this study is to model the Generalized Linear Mixed Model (GLMM) on the Consumer Price Index (CPI) data for 34 provinces as panel data in Indonesia. This modeling aims to predict and to see the causes of the CPI movement. This paper contains the formulation, interpretation and inference of the formed GLMM model. The modeling results show that the CPI response variable is assumed to follow the Gamma distribution with a regional random effect better than other models in this paper, this is indicated by the smaller AIC value of 70.2. This study provides a theoretical contribution to dealing with nonnormal distributed data in the CPI as panel data in Indonesia (in this case, we assume that the CPI have Gamma and Lognormal Distributed). In addition, this research is also practically useful for determining the most suitable modeling for CPI data as panel data in Indonesia." @default.
- W4313144616 created "2023-01-06" @default.
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- W4313144616 date "2022-01-01" @default.
- W4313144616 modified "2023-10-13" @default.
- W4313144616 title "Generalized linear mixed models: Application for consumer price index in Indonesia" @default.
- W4313144616 cites W1586300641 @default.
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- W4313144616 doi "https://doi.org/10.1063/5.0108883" @default.
- W4313144616 hasPublicationYear "2022" @default.
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