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  • Search: subject:"expected value function"
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Year of publication
Subject
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Limited expected value function 2 Decision 1 Decision under uncertainty 1 Deductible 1 Dynamic programming 1 Dynamische Optimierung 1 Entscheidung 1 Entscheidung unter Unsicherheit 1 Goodness-of-fit testing 1 Insurance risk model 1 Insurance risk premium 1 Loss distribution 1 Mathematical programming 1 Mathematische Optimierung 1 Mean excess function 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Portfolio selection 1 Portfolio-Management 1 Random variable generation 1 Risk process 1 Robust statistics 1 Robustes Verfahren 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 augmented Tchebycheff norm 1 collective risk model 1 decision making under uncertainty 1 expected value function 1 limited expected value function 1 linear scalarization 1 mean excess function 1 multicriteria optimization 1 multiobjective programming 1 proper efficiency 1 quantile line 1 robust optimization 1 ruin probability plot 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Book / Working Paper 3 Article 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 2
Author
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Burnecki, Krzysztof 3 Weron, Rafal 2 Engau, Alexander 1 Misiorek, Adam 1 Nowicka-Zagrajek, Joanna 1 Weron, Aleksander 1
Institution
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Hugo Steinhaus Center for Stochastic Methods, Politechnika Wrocławska 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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HSC Research Reports 2 MPRA Paper 1 Mathematics of operations research 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Proper efficiency and tradeoffs in multiple criteria and stochastic optimization
Engau, Alexander - In: Mathematics of operations research 42 (2017) 1, pp. 119-134
Persistent link: https://www.econbiz.de/10011654582
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Loss Distributions
Burnecki, Krzysztof; Misiorek, Adam; Weron, Rafal - Volkswirtschaftliche Fakultät, … - 2010
This paper is intended as a guide to statistical inference for loss distributions. There are three basic approaches to deriving the loss distribution in an insurance risk model: empirical, analytical, and moment based. The empirical method is based on a sufficiently smooth and accurate estimate...
Persistent link: https://www.econbiz.de/10008622253
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Visualization tools for insurance risk processes
Burnecki, Krzysztof; Weron, Rafal - Hugo Steinhaus Center for Stochastic Methods, … - 2006
This chapter develops on risk processes which, perhaps, are most suitable for computer visualization of all insurance objects. At the same time, risk processes are basic instruments for any non-life actuary – they are vital for calculating the amount of loss that an insurance company may incur.
Persistent link: https://www.econbiz.de/10010626155
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Pure risk premiums under deductibles. A quantitative management in actuarial practice
Burnecki, Krzysztof; Nowicka-Zagrajek, Joanna; Weron, … - Hugo Steinhaus Center for Stochastic Methods, … - 2004
franchise, fix amount, proportional, limited proportional and disappearing deductibles in terms of the limited expected value … function. Next, we apply the results to typical loss distributions, i.e. lognormal, Pareto, Burr, Weibull and gamma. Finally …
Persistent link: https://www.econbiz.de/10009003612
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