asymptotic approximation
Asymptotic Approximation of the Standard Condition Number Detector for Large Multi-Antenna Cognitive Radio Systems
... the asymptotic mean, variance and skewness of the extreme eigenvalues under H 0 and H 1 ...The asymptotic mean, variance and skewness of the SCN are derived in section ...new asymptotic ...
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Efficient and Accurate Approximation of Infinite Series Summation Using Asymptotic Approximation and Fast Convergent Series
... an asymptotic approximation to the Bessel and Green’s functions, followed by an approximation of the infinite summation of each leading term with the fast convergent ...involving asymptotic ...
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Likelihood inference for small variance components
... local asymptotic approximations to construct confidence intervals for the components of vari- ance when the components are close to the boundary of the parameter ...local asymptotic approximation has ...
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A New Heteroskedastic Consistent Covariance Matrix Estimator using Deviance Measure
... which are also used in case of leverage observations. Extensive simulation studies are used to study the effect of various levels of heteroskedasticity on the performance of the quasi tests based on HC estimators. ...
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Narrow Escape, Part I
... an asymptotic approximation when the window is an ellipse, assuming the large semi axis a is much smaller than || 1/3 ( || is the volume), and show that the mean escape time is E τ ∼ 2 π || Da K(e), where e ...
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Probability inequalities for END sequence and their applications
... the asymptotic approximation of inverse moment for nonnegative END sequence with finite first moments, which generalizes and improves the corresponding results of Wu et ...
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Asymptotic model selection and identifiability of directed tree models with hidden variables
... the asymptotic approximation for Z(N) for directed graphical models induced by trees such that all the variables in the system are binary and in addition we do not observe the inner ...standard ...
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Asymptotics and Well Posedness of the Derived Distribution Density in a Study of Biovariability
... DOI: 10.4236/am.2018.96046 676 Applied Mathematics we need the numerical capability of calculating function g s ( ) for all values of s , from small to large. Power series (12) has the nice property that theoretically it ...
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1603.01846.pdf
... In this Letter, we develop a simulation algorithm to efficiently generate ex- act realizations of the first passage time, based on Green’s function reaction dynamics [26]. For situations where cavitation is a rare event ...
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On the Asymptotic Sum Rate of Downlink Cellular Systems With Random User Locations.
... an asymptotic approximation for the achievable ergodic sum rate, taking into account the randomness from both fading and random user ...deterministic approximation describes well the behavior of ...
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Bootstrapping the Expected Shortfall
... For the weak dependence case, under suitable mixing conditions, [8] first proposed a nonparametric kernel estimator for the expected shortfall in the context of portfolio allocation and derived its asymptotic ...
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PRICING EXOTIC OPTION UNDER STOCHASTIC VOLATILITY MODEL
... zero-order approximation term and the fi rst-order approximation term for the suppershare option and chooser option under a fast mean- reverting stochastic volatility ...the approximation term, we ...
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Asymptotic Convergence of the Angular Discretization Error in the Discrete Ordinates Approximation of the Particle Transport Equation.
... Figure 5.27 shows the absolute errors of the fully collided scalar flux against increasing number of discrete angles per octant in Region 2. In this source free region, the error curves are not as smooth as those in ...
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Estimation in semiparametric spatial regression
... The purpose of this paper is then to develop estimators for a spatial semiparametric (par- tially linear) structure and to derive their asymptotic properties. In the companion paper by Lu, et al (2005), the ...
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Ruin probabilities for a perturbed risk model with stochastic premiums and constant interest force
... In the rest of this paper, we consider the upper bounds and the Lundberg-Cramér ap- proximation for the infinite-time ruin probability, and we obtain the asymptotic formula for the finite-time ruin probability when ...
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Stochastic ordering of Pólya random variables and monotonicity of the Bernstein–Stancu operator for a negative parameter
... of approximation of an integral by the trapezoidal rule in terms of the first derivative of a ...the asymptotic case (asymptotic error estimate): denoting by E N (f ) the exact error and E ˜ N (f ) ...
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Inequalities and asymptotic formulas for \((1+1/x)^{x+a}\)
... 2 Asymptotic formulas Theorem . develops the approximation formula . to produce a complete asymptotic expansion.... be a given real number.[r] ...
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An approximation method for common fixed points of a finite family of asymptotic pointwise nonexpansive mappings
... In this article, we consider an iterative scheme to approximate a common fixed point for a finite family of asymptotic pointwise nonexpansive mappings. We obtain weak and strong convergence theorems of the proposed ...
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On genuine Lupa\c{s}-Beta operators and modulus of continuity
... discuss approximation properties of genuine Lupa¸s-Beta operators of integral ...quantitative asymptotic formulae and a direct estimate in terms of Ditzian-Totik modulus of ...
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Asymptotic Comparison of Parameters Estimates of Two-parameter Weibull Distribution
... In Fig. 3, two Box plots are presented for each parameter estimation based on 1000 generated random samples of size 30 from Weibull distribution with α = 1 and β = 5. In Tab. IV, the asymptotic generalized ...
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