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2017-02-24

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cc-by-nc-nd (c) Elsevier B.V., 2017
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/108966

A finite mixture of multiple discrete distributions for modelling heaped count data

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https://doi.org/10.1016/j.csda.2017.02.013

Abstract

A new modelling approach, based on finite mixtures of multiple discrete distributions of different multiplicities, is proposed to fit data with a lot of periodic spikes in certain values. An EM algorithm is provided in order to ensure the models' ease-of-fit and then a simulation study is presented to show its efficiency. A numerical application with a real data set involving the length, measured in days, of inability to work after an accident occurs is treated. The main finding is that the model provides a very good fit when working week, calendar week and month multiplicities are taken into account.

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Anàlisi de regressió, Assegurances d'accidents, Variables (Matemàtica)

Subject (English)

Regression analysis, Accident insurance, Variables (Mathematics)

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Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial)

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BERMÚDEZ, Lluís, KARLIS, Dimitris and SANTOLINO, Miguel. A finite mixture of multiple discrete distributions for modelling heaped count data. Computational Statistics & Data Analysis. 2017. Vol. 112, num. August, pags. 14-23. ISSN 0167-9473. [consulted: 15 of June of 2026]. Available at: https://hdl.handle.net/2445/108966

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