Results 21 to 30 of about 45,703 (314)
We study the nonsteady Stokes flow in a thin tube structure composed by two thin rectangles with lateral elastic boundaries which are connected by a domain with rigid boundaries.
R. Fares, G. P. Panasenko, R. Stavre
doaj +1 more source
Inference for Inverse Power Lomax Distribution with Progressive First-Failure Censoring
This paper investigates the statistical inference of inverse power Lomax distribution parameters under progressive first-failure censored samples. The maximum likelihood estimates (MLEs) and the asymptotic confidence intervals are derived based on the ...
Xiaolin Shi, Yimin Shi
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Fejer means of rational Fourier – Chebyshev series and approximation of function |x|s
Approximation properties of Fejer means of Fourier series by Chebyshev – Markov system of algebraic fractions and approximation by Fejer means of function |x|s, 0 < s < 2, on the interval [−1,1], are studied.
Pavel G. Patseika, Yauheni A. Rouba
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Asymptotic unbiased density estimators [PDF]
Summary: This paper introduces a computationally tractable density estimator that has the same asymptotic variance as the classical Nadaraya-Watson density estimator but whose asymptotic bias is zero. We achieve this result using a two stage estimator that applies a multiplicative bias correction to an oversmooth pilot estimator.
Hengartner, Nicolas W. +1 more
openaire +4 more sources
Effects of outliers on the identification and estimation of GARCH models [PDF]
This paper analyses how outliers affect the identification of conditional heteroscedasticity and the estimation of generalized autoregressive conditionally heteroscedastic (GARCH) models.
Ruiz Ortega, Esther +6 more
core +1 more source
Asymptotic Complexity Estimates for Probabilistic Programs and Their VASS Abstractions [PDF]
The standard approach to analyzing the asymptotic complexity of probabilistic programs is based on studying the asymptotic growth of certain expected values (such as the expected termination time) for increasing input size. We argue that this approach is
Kučera, Antonín, Ajdarów, Michal
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Asymptotic Estimates of Hierarchical Modeling [PDF]
In this paper we propose a way to analyze certain classes of dimension reduction models for elliptic problems in thin domains. We develop asymptotic expansions for the exact and model solutions, having the thickness as small parameter. The modeling error is then estimated by comparing the respective expansions, and the upper bounds obtained make clear
Arnold, Douglas N. +1 more
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Asymptotic inference for nearly unstable AR(p) processes
In this paper nearly unstable AR( p) processes (in other words, models with characteristic roots near the unit circle) are studied. Our main aim is to describe the asymptotic behavior of the least-squares estimators of the coefficients.
van Zuijlen, Martien C. A. +2 more
core +1 more source
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Asymptotic estimates for PDE with p-Laplacian and damping
We study the positive solutions of equation \begin{equation*} \operatorname{div}(\|\nabla u\|^{p-2}\nabla u)+ \left\langle \vec b(x), \|\nabla u\|^{p-2}\nabla u\right\rangle + c(x)|u|^{q-2}u=0, \end{equation*} via the Riccati technique and prove an
Robert Marik
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