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  • Search: subject:"Modified Bessel functions"
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Subject
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Modified Bessel functions 2 Asian option 1 Busy period 1 Chebyshev polynomials 1 Conditional tail expectation 1 Correction 1 Disaster 1 Generating functions 1 Geometric Brownian motion 1 Hartman–Watson density 1 Integral of geometric Brownian motion 1 Maximum likelihood estimate 1 Mean and variance 1 Modified Bessel functions of the first kind 1 Risk measures 1 System size probabilities 1 Transient and steady state 1 Turán-type inequalities 1 Value at risk 1 Variable annuity guaranteed benefit 1 von Mises–Fisher distribution 1
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Undetermined 3
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Baricz, Árpád 1 Feng, Runhuan 1 Lenin, R. B. 1 Sebasthi Priya, R. 1 Sudhesh, R. 1 Volkmer, Hans W. 1
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Computational Statistics 1 Insurance: Mathematics and Economics 1 Top : transactions in operations research 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Analysis of N-policy queues with disastrous breakdown
Sudhesh, R.; Sebasthi Priya, R.; Lenin, R. B. - In: Top : transactions in operations research 24 (2016) 3, pp. 612-634
Persistent link: https://www.econbiz.de/10011671567
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Remarks on a parameter estimation for von Mises–Fisher distributions
Baricz, Árpád - In: Computational Statistics 29 (2014) 3, pp. 891-894
We point out an error in the proof of the main result of the paper of Tanabe et al. (Comput Stat 22:145–157, <CitationRef CitationID="CR7">2007</CitationRef>) concerning a parameter estimation for von Mises–Fisher distributions, we correct the proof of the main result and we present a short alternative proof. Copyright Springer-Verlag...</citationref>
Persistent link: https://www.econbiz.de/10010998464
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Analytical calculation of risk measures for variable annuity guaranteed benefits
Feng, Runhuan; Volkmer, Hans W. - In: Insurance: Mathematics and Economics 51 (2012) 3, pp. 636-648
With the increasing complexity of investment options in life insurance, more and more life insurers have adopted stochastic modeling methods for the assessment and management of insurance and financial risks. The most prevalent approach in market practice, Monte Carlo simulation, has been...
Persistent link: https://www.econbiz.de/10010594509
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