Results 261 to 270 of about 674,854 (309)
Estimating the probability of loss reversal
, 2008 This study aims to examine loss reversals with an emphasis on the effect of research and development expenditures on the probability of experiencing loss reversals. This paper builds on previous research by examining a variety of company variables such as accruals, cashflows, dividends, company size, earnings and R&D expenses against the chance of ...
Kaisis, George
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On the convexity of loss probabilities
Journal of Applied Probability, 2002For the M/G/c loss system, it is well known that Erlang's loss probability is convex in the number of servers. We extend this result firstly to renewal arrivals and exponential service, then to regenerative arrivals and exponential service, and finally to an arbitrary arrival process with i.i.d. service times that are independent of the arrival process.
Wolff, Ronald W., Wang, Chia-Li
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Energy-loss probability in electron microscopy
Physical Review B, 1987New general results on the self-energy of fast electrons interacting with metal surfaces are presented with emphasis on the energy-loss problem in electron microscopy. Some applications to both spherical and planar targets are considered. Our results are relevant to the understanding of inelastic electron scattering near small structures, at the ...
, Echenique, , Bausells, , Rivacoba
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Loss probability properties in retrial queues
Operations Research Letters, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chia-Li Wang, Ronald W. Wolff
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The Probability of Loss of Calls in Heavy Traffic
Theory of Probability & Its Applications, 1964The full availability group of trunks with an arbitrary distribution of the inter-arrival times and a negative exponential holding time distribution is considered. The possibility of evaluating the probability of loss of calls by Erlang’s formula, as a first approximation, is established under very general conditions on streams with high intensity ...
Viskov, O. V., Prokhorov, Yu. V.
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Evaluation of packet loss probability in Bluetooth networks
2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333), 2003We provide a closed-form expression for the packet loss probability in Bluetooth networks accounting for capture effects due to propagation losses. The effectiveness of the proposed approach is assessed comparing the analytical results with those obtained from Monte Carlo simulations.
MAZZENGA F +3 more
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Computation of Loss-of-Load Probability
IEEE Transactions on Reliability, 1976When the reliability of an electric power system is evaluated by the Loss-of-Load Probability (LOLP) method, it is customary to take into account the uncertainty in load forecasts by associating a peak-load distribution (as a parameter expressing the uncertainty) with the assumed daily peak-load duration curve, then to compute the unconditional LOLP as
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On probabilities and loss aversion
Theory and Decision, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Blätter der DGVFM, 1990
In some nonlife insurance branches the probable maximum loss is of great importance for judging a given risk or a given collective of risks. In the present paper, the author gives a general mathematical definition and a new practicable calculation method for the probable maximum loss.
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In some nonlife insurance branches the probable maximum loss is of great importance for judging a given risk or a given collective of risks. In the present paper, the author gives a general mathematical definition and a new practicable calculation method for the probable maximum loss.
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2008 Fourth Advanced International Conference on Telecommunications, 2008
Admission control is one of the key functions performed by the management of services and network resources in order to guarantee the QoS requirements of different types of traffic flows. In the case of non-elastic traffic streams, the admission control is typically based on a formula derived by assuming that the traffic aggregate may be approximated ...
Lucian Ioan, Grazziela Niculescu
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Admission control is one of the key functions performed by the management of services and network resources in order to guarantee the QoS requirements of different types of traffic flows. In the case of non-elastic traffic streams, the admission control is typically based on a formula derived by assuming that the traffic aggregate may be approximated ...
Lucian Ioan, Grazziela Niculescu
openaire +1 more source