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• W2914094530 abstract "AbstractThis article addresses the modelling of day and night larceny incidents in two regions of Mauritius through a bivariate integer-valued autoregressive of order 1 (BINAR(1)) model with a flexible Conway–Maxwell Poisson (CMP) innovations under time-varying moments. The outcome of the study demonstrates scientifically the contributory effects and helps to understand the main influential factors which could guide policy makers for remedial measures. A small simulation study is also incorporated to assess the performance of the generalized quasi-likelihood (GQL) estimation method. The proposed model is compared with other relevant competing bivariate models in the application part." @default.
• W2914094530 created "2019-02-21" @default.
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• W2914094530 date "2018-04-03" @default.
• W2914094530 modified "2023-09-23" @default.
• W2914094530 title "Larceny trend in some areas of Mauritius via a bivariate INAR(1) model with dispersed COM-Poisson innovations" @default.
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• W2914094530 doi "https://doi.org/10.1080/23737484.2018.1497459" @default.
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