Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Risk, Ruin and Survival: Decision Making in Insurance and Finance
| Risk, Ruin and Survival: Decision Making in Insurance and Finance |
| Autore | Ren Jiandong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (210 p.) |
| Soggetto non controllato |
advanced measurement approach
aggregate discounted claims aggregate risk archimedean copulas background risk central limit theorem clustering collective risk model concomitant confidence interval constant interest rate copula copulas covariance cumulative Parisian ruin discounted aggregate claims dual risk model financial time series hazard model individual risk model information processing insurance integral equation Laplace transform Markovian arrival process max-stable random fields maximal tail dependence Monte Carlo multiplicative background risk model multivariate gamma distribution n/a national culture numerical approximation operational risk order statistic partial integro-differential equation rate of spatial diversification rating migrations reinsurance renewal process risk management risk measure risk theory ruin probability spatial dependence spatial risk measures and corresponding axiomatic approach stochastic orders surplus process survival analysis systematic risk transfer function value-at-risk weighted cuts |
| ISBN | 3-03928-517-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Risk, Ruin and Survival |
| Record Nr. | UNINA-9910404092203321 |
Ren Jiandong
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Stochastic Processes: Theory and Applications
| Stochastic Processes: Theory and Applications |
| Autore | Korolev Victor |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto non controllato |
asymptotic approximation
Cauchy problem closed-form solution compound poisson insurance risk model compound Poisson risk model cumulative inaccuracy Dickson-Hipp operator discrete-time Geo/D/1 queue equity-linked death benefits estimation expected discounted penalty function extreme order statistics Fourier cosine series expansion Fourier transform Fourier-cosine series generalized Gerber-Shiu discounted penalty function guaranteed minimum death benefit impatience inhomogeneous continuous-time Markov chain Koksma-Hlawka inequality Laplace transform Lévy process limiting characteristics lower record values markovian arrival process Markovian arrival process Markovian queueing models matrix-geometric solution measure of information Monte Carlo method multi-class arrival processes multidimensional birth-death process mutual information non-stationary Nonparametric threshold estimation one dimensional projection option parabolic equation phase-type service time distribution processor heating and cooling product form Quasi-Birth-and-Death process quasi-Monte Carlo method quasi-random sequences queueing systems queuing network random sample size rate of convergence recursive formula retrials state-dependent marked Markovian arrival process stochastic processes survival probability testing statistical hypotheses time-dependent queue-length probability total precipitation volume truncated distribution unbiased estimator valuation von-Neumann-Ulam scheme wet periods Wiener-Poisson risk model wireless telecommunication networks |
| ISBN | 3-03921-963-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Stochastic Processes |
| Record Nr. | UNINA-9910367737703321 |
|
Korolev Victor
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||