Results 41 to 50 of about 8,819 (162)
A Note on the Asymptotic Efficiency of an Asymptotically Normal Estimator Sequence [PDF]
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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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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Local Asymptotic Normality Complexity Arising in a Parametric Statistical Lévy Model
We consider statistical experiments associated with a Lévy process X=Xtt≥0 observed along a deterministic scheme iun, 1≤i≤n. We assume that under a probability ℙθ, the r.v.
Wissem Jedidi
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Asymptotic normality of the truncation probability estimator for truncated dependent data [PDF]
In some long term studies, a series of dependent and possibly truncated life-times may be observed. Suppose that the lifetimes have a common marginal distribution function. In left-truncation model, one observes data (Xi,Ti) only, when Ti ≤ Xi.
S. Jomhoori, V. Fakoor, H. A. Azarnoosh
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A note on unimodality and asymptotic normality
AbstractFrom asymptotic normality of a unimodal sequence (pn) estimates are obtained for the values N such that pN ⩾ pn for all n.
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The asymptotic normalized linear complexity of multisequences
19 pages, 2 figures, submitted to J ...
Michael Vielhaber 0001 +1 more
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In this paper, the reliability of a k-component system, in which all components are subject to common stress, is considered. The multicomponent system will continue to survive if at least s out of k components’ strength exceed the common stress.
Lauren Sauer, Yuhlong Lio, Tzong-Ru Tsai
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Asymptotic Normality of Some Graph Sequences [PDF]
For a simple finite graph G denote by {G \brace k} the number of ways of partitioning the vertex set of G into k non-empty independent sets (that is, into classes that span no edges of G). If E_n is the graph on n vertices with no edges then {E_n \brace k} coincides with {n \brace k}, the ordinary Stirling number of the second kind, and so we refer to {
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The present paper derives convergence rates and asymptotic normality of a class of M ...
Ahmed Ghezal, Imane Zemmouri
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A Note on Asymptotic Joint Normality
The concept of asymptotic normality takes on some new aspects when the dimensionality of the vector random variable under consideration is allowed to increase indefinitely. A necessary and sufficient condition for joint asymptotic normality in a new (strong) sense, in the case of independence, is given.
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