Results 221 to 230 of about 226,525 (267)
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QUANTILE ESTIMATION AND PROBABILITY COVERAGES
Australian Journal of Statistics, 1980SummaryWhen estimating population quantiles via a random sample from an unknown continuous distribution function it is well known that a pair of order statistics may be used to set a confidence interval for any single desired, population quantile. In this paper the technique is generalized so that more than one pair of order statistics may be used to ...
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Probability models of microcell coverage
Wireless Networks, 1996Once a subscriber unit served by a microcell initiates a call, it must remain in the coverage area of the microcell long enough to complete call set up and hand-off functions. This restricts the minimum size attainable by a microcell. This paper derives the relationship between the microcell size, the call processing time, and the probability that a ...
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On multiple fault coverage and aliasing probability measures
International Test Conference 1988 Proceeding@m_New Frontiers in Testing, 2003A comparative study is presented of different methods of calculating multiple fault coverage and aliasing probability measures. The objectives are to describe the ways that these ratios are defined to give them a physical interpretation, and to separate the discussion of how to define the measure from how the measure might be actually obtained or ...
Henry Cox +3 more
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Probably approximately correct coverage for robots with uncertainty
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011The classical problem of robot coverage is to plan a path that brings a point on the robot within a fixed distance of every point in the free space. In the presence of significant uncertainty in sensing and actuation, it may no longer be possible to guarantee that the robot covers all of the free space all the time, and so it becomes unclear what ...
Colin Das +2 more
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The asymptotic values of certain coverage probabilities
Biometrika, 1969SUMMARY Consider n arbitrary subsets of a set X. Suppose x e X lies in H(x) of these subsets and define H = min H(x) and H = max H(x). That is, the least and most covered regions of X are x E X _ x E respectively H- and H-covered, with 0 n-rm) are determined for m = 0, 1,. 1.
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Analysis of Coverage Probability for Cooperative Heterogeneous Network
2013 IEEE 78th Vehicular Technology Conference (VTC Fall), 2013Heterogeneous network (HetNet) has been studied as a promising technology to boost the system throughput. A new upper boundary of coverage probability (CP) is derived, which is the one of cooperative communication between two base stations (BSs) for downlink HetNet.
Yi Feng Xie +4 more
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k-Coverage Probability in a Finite Wireless Network
2017 IEEE Wireless Communications and Networking Conference (WCNC), 2017We present a general mathematical framework to characterize the performance of an arbitrarily-located reference receiver in a finite wireless network. Modeling the locations of nodes as a uniform binomial point process (BPP), we derive the general k-coverage probability, which is the distribution of the signal-to-interference ratio (SIR) at the ...
Mehrnaz Afshang, Harpreet S. Dhillon
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Bounds for coverage probabilities with applications to sequential coverage problems
Journal of Applied Probability, 1974This paper discusses general bounds for coverage probabilities and moments of stopping rules for sequential coverage problems in geometrical probability. An approach to the study of the asymptotic behaviour of these moments is also presented.
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Minimum Variance Unbiased Estimate of a Coverage Probability
Operations Research, 1968Let F(x, θ) denote the distribution function of a vector variate x, whose range does not depend on the parameter θ. Then assuming that θ admits a complete and sufficient estimator θ̂, we derive minimum variance unbiased estimate of Px ≦ a= F(a, θ), where a is a known vector. The result is applied to a coverage problem in a normal set up.
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Asymptotic Expansion of the Coverage Probability of James–Stein Estimators
Theory of Probability & Its Applications, 2007Summary: This paper provides a new approach to the asymptotic expansion construction of the coverage probability of the confidence sets recentered by \textit{W. James} and \textit{C. Stein} [Estimation with quadratic loss. Proc. Fourth Berkeley Symp. Math. Stat. Probab., Vol. 1, 361--379 (1961)] and its positive-part Stein estimators [\textit{C. Stein},
Ahmed S. +3 more
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