Fuzzy random variables
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Dionne, Georges & Vanasse, Charles, 1989.
"A Generalization of Automobile Insurance Rating Models: The Negative Binomial Distribution with a Regression Component,"
ASTIN Bulletin, Cambridge University Press, vol. 19(2), pages 199-212, November.
- Dionne, G. & Vanasse, C., 1988. "A Generalization Of Automobile Insurance Rating Models: The Negative Binomial Distribution With A Regression Component," Cahiers de recherche 8833, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Dionne, G. & Vanasse, C., 1988. "A Generalization of Automobile Insurance Rating Models: the Negative Binomial Distribution with a Regression Component," Cahiers de recherche 8833, Universite de Montreal, Departement de sciences economiques.
- Reinhard Viertl & Dietmar Hareter, 2004. "Generalized Bayes’ theorem for non-precise a-priori distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 59(3), pages 263-273, June.
- Lopez-Diaz, Miguel & Ralescu, Dan A., 2006. "Tools for fuzzy random variables: Embeddings and measurabilities," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 109-114, November.
- Shapiro, Arnold F., 2004. "Fuzzy logic in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 399-424, October.
- Gonzalez-Rodriguez, Gil & Colubi, Ana & Angeles Gil, Maria, 2006. "A fuzzy representation of random variables: An operational tool in exploratory analysis and hypothesis testing," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 163-176, November.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.
- Belles-Sampera, Jaume & Merigó, José M. & Guillén, Montserrat & Santolino, Miguel, 2013.
"The connection between distortion risk measures and ordered weighted averaging operators,"
Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 411-420.
- Jaume Belles-Sampera & José M. Merigó & Montserrat Guillén & Miguel Santolino, 2012. "The connection between distortion risk measures and ordered weighted averaging operators," IREA Working Papers 201201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2012.
- A. Shibu & M. Reddy, 2014. "Optimal Design of Water Distribution Networks Considering Fuzzy Randomness of Demands Using Cross Entropy Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4075-4094, September.
- Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Arnold F. Shapiro & Michel Terraza, 2012. "Capital asset pricing model with fuzzy returns and hypothesis testing," Working Papers 12-33, LAMETA, Universtiy of Montpellier, revised Sep 2012.
- Rachida Hennani & Michel Terraza, 2012. "Value-at-Risk stressée chaotique d’un portefeuille bancaire," Working Papers 12-23, LAMETA, Universtiy of Montpellier, revised Sep 2012.
- Vahid Ranjbar & Gholamreza Hesamian, 2020. "Copula function for fuzzy random variables: applications in measuring association between two fuzzy random variables," Statistical Papers, Springer, vol. 61(1), pages 503-522, February.
- Lu Gan & Li Wang & Lin Hu, 2017. "Gathered Village Location Optimization for Chinese Sustainable Urbanization Using an Integrated MODM Approach under Bi-Uncertain Environment," Sustainability, MDPI, vol. 9(10), pages 1-25, October.
- Apaydin, Aysen & Baser, Furkan, 2010. "Hybrid fuzzy least-squares regression analysis in claims reserving with geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 113-122, October.
- Allahviranloo, Mahdieh & Chow, Joseph Y.J. & Recker, Will W., 2014. "Selective vehicle routing problems under uncertainty without recourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 68-88.
- Piero Baraldi & Michele Compare & Enrico Zio, 2013. "Uncertainty analysis in degradation modeling for maintenance policy assessment," Journal of Risk and Reliability, , vol. 227(3), pages 267-278, June.
- Ravi Shankar Kumar & M. K. Tiwari & A. Goswami, 2016. "Two-echelon fuzzy stochastic supply chain for the manufacturer–buyer integrated production–inventory system," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 875-888, August.
- Gholamreza Hesamian & Jalal Chachi, 2015. "Two-sample Kolmogorov–Smirnov fuzzy test for fuzzy random variables," Statistical Papers, Springer, vol. 56(1), pages 61-82, February.
- Mbairadjim Moussa, A. & Sadefo Kamdem, J. & Shapiro, A.F. & Terraza, M., 2014.
"CAPM with fuzzy returns and hypothesis testing,"
Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 40-57.
- A. Mbairadjim Moussa & J. Sadefo Kamdem & A.F. Shapiro & M. Terraza, 2014. "CAPM with fuzzy returns and hypothesis testing," Post-Print hal-02901727, HAL.
- Shvedov, Alexey, 2016. "Estimating the means and the covariances of fuzzy random variables," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 121-138.
- Shapiro, Arnold F., 2013. "Modeling future lifetime as a fuzzy random variable," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 864-870.
- Arnold Shapiro, 2013. "Fuzzy post-retirement financial concepts: an exploratory study," METRON, Springer;Sapienza Università di Roma, vol. 71(3), pages 261-278, November.
- Sadefo Kamdem, J. & Mbairadjim Moussa, A. & Terraza, M., 2012.
"Fuzzy risk adjusted performance measures: Application to hedge funds,"
Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 702-712.
- J. Sadefo Kamdem & A. Mbairadjim Moussa & M. Terraza, 2012. "Fuzzy risk adjusted performance measures: Application to hedge funds," Post-Print hal-02901867, HAL.
- Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Michel Terraza, 2012. "Fuzzy risk adjusted performance measures: application to Hedge funds," Working Papers 12-24, LAMETA, Universtiy of Montpellier, revised Sep 2012.
- Mbairadjim Moussa, A. & Sadefo Kamdem, J. & Terraza, M., 2014.
"Fuzzy value-at-risk and expected shortfall for portfolios with heavy-tailed returns,"
Economic Modelling, Elsevier, vol. 39(C), pages 247-256.
- A. Mbairadjim Moussa & J. Sadefo Kamdem & M. Terraza, 2014. "Fuzzy value-at-risk and expected shortfall for portfolios with heavy-tailed returns," Post-Print hal-02901791, HAL.
- Alfred Mbairadjim Moussa & Jules Sadefo Kamdem, 2022.
"A fuzzy multifactor asset pricing model,"
Annals of Operations Research, Springer, vol. 313(2), pages 1221-1241, June.
- Jules Sadefo-Kamdem & Alfred Mbairadjim Moussa, 2022. "A fuzzy multifactor asset pricing model," Post-Print hal-03325600, HAL.
- J. Le-Rademacher & L. Billard, 2017. "Principal component analysis for histogram-valued data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(2), pages 327-351, June.
- de Andrés-Sánchez, Jorge & González-Vila Puchades, Laura, 2017. "The valuation of life contingencies: A symmetrical triangular fuzzy approximation," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 83-94.
- Xianfei Hui & Baiqing Sun & Hui Jiang & Yan Zhou, 2022. "Modeling dynamic volatility under uncertain environment with fuzziness and randomness," Papers 2204.12657, arXiv.org, revised Oct 2022.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Sadefo Kamdem, J. & Mbairadjim Moussa, A. & Terraza, M., 2012.
"Fuzzy risk adjusted performance measures: Application to hedge funds,"
Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 702-712.
- J. Sadefo Kamdem & A. Mbairadjim Moussa & M. Terraza, 2012. "Fuzzy risk adjusted performance measures: Application to hedge funds," Post-Print hal-02901867, HAL.
- Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Michel Terraza, 2012. "Fuzzy risk adjusted performance measures: application to Hedge funds," Working Papers 12-24, LAMETA, Universtiy of Montpellier, revised Sep 2012.
- Colubi, Ana & Gonzalez-Rodriguez, Gil, 2007. "Triangular fuzzification of random variables and power of distribution tests: Empirical discussion," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4742-4750, May.
- Gil, Maria Angeles & Montenegro, Manuel & Gonzalez-Rodriguez, Gil & Colubi, Ana & Rosa Casals, Maria, 2006. "Bootstrap approach to the multi-sample test of means with imprecise data," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 148-162, November.
- Rachida Hennani & Michel Terraza, 2012. "Value-at-Risk stressée chaotique d’un portefeuille bancaire," Working Papers 12-23, LAMETA, Universtiy of Montpellier, revised Sep 2012.
- Coppi, Renato & Gil, Maria A. & Kiers, Henk A.L., 2006. "The fuzzy approach to statistical analysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 1-14, November.
- Yang Lu, 2019.
"Flexible (panel) regression models for bivariate count–continuous data with an insurance application,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1503-1521, October.
- Yang Lu, 2019. "Flexible (panel) regression models for bivariate count-continuous data with an insurance application," Post-Print hal-02419024, HAL.
- Angers, Jean-François & Desjardins, Denise & Dionne, Georges & Guertin, François, 2006.
"Vehicle and Fleet Random Effects in a Model of Insurance Rating for Fleets of Vehicles,"
ASTIN Bulletin, Cambridge University Press, vol. 36(1), pages 25-77, May.
- Jean-François Angers & Denise Desjardins & Georges Dionne & François Guertin, 2004. "Vehicle and Fleet Random Effects in a Model of Insurance Rating for Fleets of Vehicles," Cahiers de recherche 0423, CIRPEE.
- Angers, Jean-François & Desjardins, Denise & Dionne, Georges & Guertin, François, 2005. "Vehicle and fleet random effects in a model of insurance rating for fleets of vehicles," Working Papers 04-7, HEC Montreal, Canada Research Chair in Risk Management.
- Jelena Lukić & Mirjana Misita & Dragan D. Milanović & Ankica Borota-Tišma & Aleksandra Janković, 2022. "Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
- de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
- Pinquet, Jean, 1998.
"Designing Optimal Bonus-Malus Systems from Different Types of Claims,"
ASTIN Bulletin, Cambridge University Press, vol. 28(2), pages 205-220, November.
- Jean Pinquet, 1998. "Designing optimal bonus-malus systems from different types of claims," Post-Print hal-00396955, HAL.
- Pinquet, J., 1998. "Designing Optimal Bonus-Malus Systems from Different Types of Claims," Papers 9819, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
- J. Pinquet, 1998. "Designing optimal bonus-malus systems from different types of claims," THEMA Working Papers 98-19, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Bolancé, Catalina & Guillén, Montserrat & Pinquet, Jean, 2008.
"On the link between credibility and frequency premium,"
Insurance: Mathematics and Economics, Elsevier, vol. 43(2), pages 209-213, October.
- Jean Pinquet & Guillén Montserrat & Catalina Bolancé, 2007. "On the link between credibility and frequency premium," Working Papers hal-00243063, HAL.
- Jean Pinquet & Montserrat Guillén & Catalina Bolancé, 2008. "On the link between credibility and frequency premium," Post-Print hal-00361645, HAL.
- David Opresnik & Maurizio Fiasché & Marco Taisch & Manuel Hirsch, 0. "An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy," Information Technology and Management, Springer, vol. 0, pages 1-17.
- Gning, Lucien & Diagne, M.L. & Tchuenche, J.M., 2023. "Hierarchical generalized linear models, correlation and a posteriori ratemaking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
- Payandeh Najafabadi Amir T. & MohammadPour Saeed, 2018. "A k-Inflated Negative Binomial Mixture Regression Model: Application to Rate–Making Systems," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(2), pages 1-31, July.
- Jean Pinquet & Georges Dionne & Charles Vanasse & Mathieu Maurice, 2007. "Point-record incentives, asymmetric information and dynamic data," Working Papers hal-00243056, HAL.
- Alfred Mbairadjim Moussa & Jules Sadefo Kamdem, 2022.
"A fuzzy multifactor asset pricing model,"
Annals of Operations Research, Springer, vol. 313(2), pages 1221-1241, June.
- Jules Sadefo-Kamdem & Alfred Mbairadjim Moussa, 2022. "A fuzzy multifactor asset pricing model," Post-Print hal-03325600, HAL.
- Lluís Bermúdez & Dimitris Karlis & Isabel Morillo, 2020. "Modelling Unobserved Heterogeneity in Claim Counts Using Finite Mixture Models," Risks, MDPI, vol. 8(1), pages 1-13, January.
- Koissi, Marie-Claire & Shapiro, Arnold F., 2006. "Fuzzy formulation of the Lee-Carter model for mortality forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 39(3), pages 287-309, December.
- Hryniewicz, Olgierd, 2016. "Bayes statistical decisions with random fuzzy data—an application in reliability," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 20-33.
- Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
More about this item
Keywords
Fuzzy random variable Random fuzzy set Insurance;Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:insuma:v:44:y:2009:i:2:p:307-314. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505554 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.