Results 51 to 60 of about 8,819 (162)

Asymptotic normality in the problem of selfish parking [PDF]

Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy, 2019
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Ananjevskii, S. M., Kryukov, N. A.
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Local Asymptotic Normality in Quantum Statistics [PDF]

Communications in Mathematical Physics, 2007
The theory of local asymptotic normality for quantum statistical experiments is developed in the spirit of the classical result from mathematical statistics due to Le Cam. Roughly speaking, local asymptotic normality means that the family varphi_{θ_{0}+ u/\sqrt{n}}^{n} consisting of joint states of n identically prepared quantum systems approaches in a
Guţă, Mădălin, Jenčová, Anna
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Robust Estimations for the Tail Index of Weibull-Type Distribution

Risks, 2018
Based on suitable left-truncated or censored data, two flexible classes of M-estimations of Weibull tail coefficient are proposed with two additional parameters bounding the impact of extreme contamination.
Chengping Gong, Chengxiu Ling
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Asymptotic Normality of Bispectral Estimates

The Annals of Mathematical Statistics, 1966
The work presented here is a continuation of that presented in an earlier paper, M. Rosenblatt and J. Van Ness [15], in which the basic properties (unbiasedness and consistency) of certain estimates of the bispectrum and bispectral density are discussed.
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On Asymptotic Normality in Stochastic Approximation

The Annals of Mathematical Statistics, 1968
A new method, simpler than previous methods due to Chung (1954) and Sacks (1958), is used to prove Theorem 2.2 below, which implies in a simple way all known results on asymptotic normality in various cases of stochastic approximation. Two examples of application are concerned with Venter's (1967) extension of the RM method and Fabian's (1967 ...
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Asymptotic normality of the LSE for chirp signal parameters

Modern Stochastics: Theory and Applications
A time continuous statistical model of chirp signal observed against the background of stationary Gaussian noise is considered in the paper. Asymptotic normality of the LSE for parameters of such a sinusoidal regression model is obtained.
Alexander Ivanov, Viktor Hladun
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Stirling Behavior is Asymptotically Normal

The Annals of Mathematical Statistics, 1967
The Stirling numbers $\{\sigma_n^j\}$ of the second kind are asymptotically normal. This result is similar to results achieved by Feller [1] and Goncarov [2] for other combinatorial distributions. Here the technique of proof is different; one of the most general forms of the central limit theorem is used.
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On asymptotically normal estimators [PDF]

Scandinavian Actuarial Journal, 1966
Abstract Let X1 X2, ... be independent and identically distributed observations with probability densities p(x; θ) with respect to some measure µ0. Extending some work of Barankin and Gurland [2] we shall in this paper first give a proof of the existence of consistent, asymptotically normal distributed (c.a.n.) estimators under relative mild ...
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Asymptotic normality of winsorized means

Stochastic Processes and their Applications, 1988
Given independent, identically distributed random variables \(X_ 1,...,X_ n\), let \(r_ n\) and \(s_ n\) be specified integers satisfying \(1\leq r_ n, s_ n\leq n/2\). A Winsorized mean is constructed by replacing the \(s_ n\) smallest observations and the \(r_ n\) largest observations by the \(s_ n th\) smallest observation and the \(r_ n th\) largest
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Asymptotic properties of maximum likelihood estimator for some discrete distributions generated by

Statistica, 2013
In large-scale biomolecular sysrems there are frequency distribuions with properties like Stable Laws. It is of interest to construct such frequency distributions. In the present article we consider Cauchy stable law. The large-sample distribution of the
Davood Farbod, Karen V. Gasparian
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