Results 41 to 50 of about 8,872 (261)
Hybrid Wavelet–Difference M-Estimation for Partially Linear Models With m-Dependent Errors
Journal of MathematicsIn this paper, we employ difference-based M-estimation to estimate the parameters β in a partially linear model with m-dependent errors and establish the asymptotic normality of these estimators.
Yu Zhang, Zhiqi Chen
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Modern Stochastics: Theory and Applications, 2015 We prove the asymptotic normality of the discretized maximum likelihood estimator for the drift parameter in the homogeneous ergodic diffusion model.
Kostiantyn Ralchenko
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Asymptotic normality of associated Lah numbers
Mathematical Foundations of Computing, 2021 <p style='text-indent:20px;'>Based on the results given by Ahuja and Enneking, we show that the generating function of the associated Lah numbers having only real zeros, and further obtain the asymptotic normality of the associated Lah numbers. As application, we get the asymptotic normality of the signless Lah numbers.</p>
Wen Zhang, Lily Li Liu
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Tailoring Phonon‐Driven Responses in α‐MoO3 through Isotopic Enrichment
Advanced Materials, EarlyView.ABSTRACT The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material, α‐MoO3, an orthorhombic crystal boasting three distinct phonon dispersions, provides three polaritonic dispersions of hyperbolic phonon polaritons (HPhPs) across the ...
Thiago S. Arnaud +31 more
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Advanced Materials Technologies, EarlyView.Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu +6 more
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Comparison of Weibull Tail-Coefficient Estimators
Revstat Statistical Journal, 2006 We address the problem of estimating the Weibull tail-coefficient which is the regular variation exponent of the inverse failure rate function. We propose a family of estimators of this coefficient and an associate extreme quantile estimator.
Laurent Gardes , Stéphane Girard
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Lietuvos Matematikos Rinkinys, 2021 The paper extends the investigations of limit theorems for numbers satisfying a class of triangular arrays. We obtain analytical expressions for the semiexponential generating function the numbers, associated with Hermite polynomials.
Igoris Belovas
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A Note on the Asymptotic Efficiency of an Asymptotically Normal Estimator Sequence [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1963 SUMMARY This paper gives a rigorous yet quite elementary proof that under fairly general conditions, the asymptotic efficiency of an asymptotically normal estimator sequence does not exceed unity. Both estimation of a single parameter and simultaneous estimation of several parameters are considered.
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Advanced Robotics Research, EarlyView.This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
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Econometrics, 2015 This paper studies the asymptotic normality for the kernel deconvolution estimator when the noise distribution is logarithmic chi-square; both identical and independently distributed observations and strong mixing observations are considered.
Yang Zu
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