Results 11 to 20 of about 3,407,167 (298)

Normal Multiresolution Approximation of Curves

open access: yesConstructive Approximation, 2004
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
openaire   +2 more sources

A Simple Normal Approximation for Weibull Distribution with Application to Estimation of Upper Prediction Limit [PDF]

open access: yesJournal of Probability and Statistics, 2011
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
doaj   +2 more sources

Uniform approximation for period-quadrupling bifurcations. [PDF]

open access: yes, 1997
. 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
core   +3 more sources

Normal approximations for fading channels [PDF]

open access: yes2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018
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
openaire   +3 more sources

On normal approximations to U-statistics

open access: yesThe Annals of Probability, 2009
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
openaire   +4 more sources

Confidence Intervals in Official Statistics: The Case of Lithuania

open access: yesLithuanian Journal of Statistics, 2012
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
doaj   +1 more source

Normal approximation for sum of random number of summands

open access: yesLietuvos Matematikos Rinkinys, 2021
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
doaj   +1 more source

Some estimates of the normal approximation for mixture of Poisson and gamma random variables

open access: yesLietuvos Matematikos Rinkinys, 2010
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
doaj   +1 more source

Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods

open access: yesRevstat Statistical Journal, 2008
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
doaj   +1 more source

A new approach for approximating the p-value of a class of bivariate sign tests

open access: yesScientific Reports, 2023
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
doaj   +1 more source

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