Results 11 to 20 of about 3,407,167 (298)
Normal Multiresolution Approximation of Curves
Subdivision is a powerful procedure for iteratively creating smooth curves and surfaces. Combined with wavelet methods, subdivision can be used to approximate functions, curves, and surfaces. The authors discuss the multiresolution approximation of a plane curve \(\Gamma\) in detail. A multiresolution approximation of \(\Gamma\) is called normal if all
Daubechies, Ingrid +2 more
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A Simple Normal Approximation for Weibull Distribution with Application to Estimation of Upper Prediction Limit [PDF]
We propose a simple close-to-normal approximation to a Weibull random variable (r.v.) and consider the problem of estimation of upper prediction limit (UPL) that includes at least l out of m future observations from a Weibull distribution at each of r ...
H. V. Kulkarni, S. K. Powar
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Uniform approximation for period-quadrupling bifurcations. [PDF]
. We derive a uniform approximation for semiclassical contributions of periodic orbits to the spectral density which is valid for generic period-quadrupling bifurcations in systems with a mixed phase space.
Henning Schomerus +5 more
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Normal approximations for fading channels [PDF]
Capacity and outage capacity characterize the maximum coding rate at which reliable communication is feasible when there are no constraints on the packet length. Evaluated for fading channels, they are important performance benchmarks for wireless communication systems. However, the latency of a communication system is proportional to the length of the
Alejandro Lancho +2 more
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On normal approximations to U-statistics
Published in at http://dx.doi.org/10.1214/09-AOP474 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Bentkus, Vidmantas +2 more
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Confidence Intervals in Official Statistics: The Case of Lithuania
In the paper, the application of confidence intervals in the surveys of official statistics is discussed. It is noticedthat there are situations where at the first sight natural normal distribution-based confidence intervals are not suitable ...
Andrius Čiginas
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Normal approximation for sum of random number of summands
Normal aproximationof sum Zt =ΣNti=1Xi of i.i.d. random variables (r.v.) Xi , i = 1, 2, . . . with mean EXi = μ and variance DXi = σ2 > 0 is analyzed taking into consideration large deviations.
Leonas Saulis, Dovilė Deltuvienė
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Some estimates of the normal approximation for mixture of Poisson and gamma random variables
In the paper, we present the upper bound of Lp norms ∆p of the order (a1 + a2)/(DZ)-1/2 for all 1 0, and the random variable Y by the standard gamma distribution Γ (α, 0, 1) with the parameter α > 0.
Jonas Kazys Sunklodas
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Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods
In applied statistics it is often necessary to obtain an interval estimate for an unknown proportion (p) based on binomial sampling. This topic is considered in almost every introductory course.
Ana M. Pires , Conceição Amado
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A new approach for approximating the p-value of a class of bivariate sign tests
Bivariate data are frequently encountered in many applied fields, including econometrics, engineering, physiology, biology, and medicine. For bivariate analysis, a wide range of non-parametric and parametric techniques can be applied.
Ibrahim A. A. Shanan +2 more
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