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Choosing a Coverage Probability for Prediction Intervals
The American Statistician, 2008Coverage probabilities for prediction intervals are germane to filtering, forecasting, previsions, regression, and time series analysis. It is a common practice to choose the coverage probabilities for such intervals by convention or by astute judgment. We argue here that coverage probabilities can be chosen by decision theoretic considerations. But to
Landon, Joshua, Singpurwalla, Nozer D.
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Theory of coverage dependence of sticking probability
Surface Science, 1984Abstract The coverage dependence of sticking probability is calculated on an extended Kisliuk model of kinetics on the precursor state. A rate equation for average occupation of the precursor state is solved under a stationary condition. The effects of the extention of the Kisliuk kinetics and of the long and short range order on a lattice gas model ...
A. Yoshimori, Y. Odoi
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Probability distributions for discrete one-dimensional coverage processes
Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John C. Handley, Edward R. Dougherty
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Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities
Journal of Mathematical Psychology, 2001The main result in this paper is that the class of multivariate extreme value distributions, when used as random utility models, can approximate all ranking probability distributions. This extends Theorem 1 of Dagsvik (1995). Copyright 2001 Academic Press.
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On Primary User Coverage Probabilities and Faulty Cognitive Radios
IEEE Transactions on Wireless Communications, 2014In a cognitive radio (CR) network, the CR devices opportunistically communicate in the frequency bands occupied by the primary users in order to improve the spectral efficiency in these bands. By sensing the primary users, e.g., the television transmitter–receiver pairs and the wireless microphone systems, each CR device determines whether or not to ...
Prasanna Madhusudhanan +2 more
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Coverage probability of distributed wireless power transfer system
2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), 2017The wireless power transfer via an electro-magnetic (EM) wave enables far-field power transfer. In this paper, we provide an analytic and experimental study on a distributed antenna system for the wireless power transfer as a mean to overcome low end-to-end power transfer efficiency of a conventional collocated antenna system.
Kae Won Choi +4 more
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Local Coverage Probability Estimation in Single Frequency Networks
Wireless Personal Communications, 2001In OFDM based Single Frequency Networks (SFNs) such as Digital Audio Broadcasting (DAB) and Digital Video Broadcasting (DVB), the mobile receiver is provided by the same signal from several synchronous transmitters at the same carrier frequency. This transmitter diversity structure makes SFNs very efficient in fading channels with an excellent spectrum
Agnes Ligeti, Slimane Ben Slimane
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On the Approximation of Coverage Probability in Broadcast Single-Frequency Networks
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Coverage probability is a key performance indicator for both broadcast and cellular networks, but it is calculated and thus defined in different ways between the two. In this paper, the two definitions are compared and the assumptions for which they are equal are derived.
Ahmad Awada 0002, Lauri Kuru
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Probability-based optimal coverage of PTZ camera networks
2012 IEEE International Conference on Communications (ICC), 2012Distributed camera networks represent an emerging trend for the incorporation of pan-tilt-zoom (PTZ) cameras in next generation large-scale wireless surveillance systems. The adoption of PTZ cameras with dynamic field of view nature can increase the resolution of mobile targets and adapt the network coverage significantly.
Pu Zhou, Jing Wu 0006, Chengnian Long
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Probability, belief and success rate: comments on ‘On the meaning of coverage probabilities’
Metrologia, 2010The method of uncertainty evaluation discussed in Supplement 1 to the Guide to the Expression of Uncertainty in Measurement generates a coverage interval in which the measurand is said to have a certain probability (the coverage probability) of lying. This communication contains a response to the recent claim that 'when a coverage interval summarizes ...
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