Bermúdez, LluísKarlis, DimitrisSantolino, Miguel2017-03-272019-02-242017-02-240167-9473https://hdl.handle.net/2445/108966A 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.10 p.application/pdfengcc-by-nc-nd (c) Elsevier B.V., 2017http://creativecommons.org/licenses/by-nc-nd/3.0/esAnàlisi de regressióAssegurances d'accidentsVariables (Matemàtica)Regression analysisAccident insuranceVariables (Mathematics)info:eu-repo/semantics/article6703602017-03-27info:eu-repo/semantics/openAccess