Results 11 to 20 of about 4,290,569 (300)

Some Technical Remarks on Negations of Discrete Probability Distributions and Their Information Loss [PDF]

open access: yesMathematics, 2022
Negation of a discrete probability distribution was introduced by Yager. To date, several papers have been published discussing generalizations, properties, and applications of negation. The recent work by Wu et al.
Ingo Klein
doaj   +2 more sources

Insurance Purchase for Low-Probability Losses [PDF]

open access: yesSSRN Electronic Journal, 2008
It is widely accepted that individuals tend to underinsure against low-probability, high-loss events relative to high-probability, low-loss events. This conventional wisdom is based largely on field studies, as there is very little experimental evidence.
Laury, Susan   +2 more
openaire   +3 more sources

M/G/n/(0, V) Erlang queueing system with non-homogeneous customers, non-identical servers and limited memory space [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2019
In the present paper, we investigate a multi-server Erlang queueing system with heterogeneous servers, non-homogeneous customers and limited memory space.
O. Tikhonenko   +2 more
doaj   +1 more source

Computing Loss Probabilities in Discrete-Time Queues [PDF]

open access: yesOperations Research, 1998
Discrete-time queueing systems are frequently encountered in telecommunication networks. These systems usually involve finite buffers. The purpose of this paper is to present a generally applicable method to compute the loss probability in discrete-time finite-buffer queues by using only the state probabilities in the corresponding infinite-buffer ...
Gouweleeuw, F.N., Tijms, H.C.
openaire   +3 more sources

Analysis of causation of loss of communication with marine autonomous systems: a probability tree approach [PDF]

open access: yes, 2014
The last decade has seen the eagerly anticipated introduction of marine autonomous systems as a pragmatic tool for ocean observation. However, outstanding reliability problems means that these vehicles are not yet fulfilling their true potential.
Brito, M.P., Griffiths, G., Smeed, D.A.
core   +1 more source

Large losses–-probability minimizing approach [PDF]

open access: yesApplicationes Mathematicae, 2004
The probability minimizing problem of large losses of portfolio in discrete and continuous time models is studied. This gives a generalization of quantile hedging presented in [3].
openaire   +2 more sources

Probability Distribution Of Fire Losses [PDF]

open access: yesFire Safety Science, 2003
Data on fire losses in Hotels and Motels collected by the National Fire Incident Reporting System in the USA between 1983-1995 are statistically analysed. It is shown, using as illustration the year 1988 data, that the non-zero fire losses closely follow a lognormal distribution.
A. Hasofer, I. Thomas
openaire   +1 more source

Queuing Delay Model for Video Transmission Over Multi-Channel Underwater Wireless Optical Networks

open access: yesIEEE Access, 2019
In this paper, we analyze a delay-sensitive underwater wireless optical network used for livevideo applications. The video streams are generated at the sender and are transmitted through underwater multi-channel paths that span over several meters of ...
Abdullah Al-Halafi   +2 more
doaj   +1 more source

PACE: Redundancy Engineering in RLNC for Low-Latency Communication

open access: yesIEEE Access, 2017
Random linear network coding (RLNC) is attractive for data transfer as well as data storage and retrieval in complex and unreliable settings. The existing systematic RLNC approach first sends all source symbols in a generation without encoding followed ...
Sreekrishna Pandi   +5 more
doaj   +1 more source

Risk Attitude in the DuLong Minority Ethnicity of China

open access: yesFrontiers in Psychology, 2021
Prospect theory predicts a four-fold risk attitude, which means that people are risk seeking for low-probability gain and high-probability loss and risk averse for low-probability loss and high-probability gain because they overweight probability when it
Lili Tan, Siyuan Li, Xiaomin Zhang
doaj   +1 more source

Home - About - Disclaimer - Privacy