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http://hdl.handle.net/2445/108966
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DC Field | Value | Language |
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dc.contributor.author | Bermúdez, Lluís | - |
dc.contributor.author | Karlis, Dimitris | - |
dc.contributor.author | Santolino, Miguel | - |
dc.date.accessioned | 2017-03-27T12:39:52Z | - |
dc.date.available | 2019-02-24T06:10:14Z | - |
dc.date.issued | 2017-02-24 | - |
dc.identifier.issn | 0167-9473 | - |
dc.identifier.uri | http://hdl.handle.net/2445/108966 | - |
dc.description.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. | - |
dc.format.extent | 10 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier B.V. | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1016/j.csda.2017.02.013 | - |
dc.relation.ispartof | Computational Statistics & Data Analysis, 2017, vol. 112, num. August, p. 14-23 | - |
dc.relation.uri | https://doi.org/10.1016/j.csda.2017.02.013 | - |
dc.rights | cc-by-nc-nd (c) Elsevier B.V., 2017 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es | - |
dc.source | Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial) | - |
dc.subject.classification | Anàlisi de regressió | - |
dc.subject.classification | Assegurances d'accidents | - |
dc.subject.classification | Variables (Matemàtica) | - |
dc.subject.other | Regression analysis | - |
dc.subject.other | Accident insurance | - |
dc.subject.other | Variables (Mathematics) | - |
dc.title | A finite mixture of multiple discrete distributions for modelling heaped count data | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 670360 | - |
dc.date.updated | 2017-03-27T12:39:53Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Matemàtica Econòmica, Financera i Actuarial) |
Files in This Item:
File | Description | Size | Format | |
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670360.pdf | 364.23 kB | Adobe PDF | View/Open |
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