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2019
In order to make use of the central limit theorems 3.2 and 3.6 the law of the limiting variables.
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In order to make use of the central limit theorems 3.2 and 3.6 the law of the limiting variables.
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Theory of Probability & Its Applications, 1993
See the review in Zbl 0774.62030.
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See the review in Zbl 0774.62030.
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On Asymptotic Deficiency of Estimators
Australian Journal of Statistics, 1981SummaryThe notion of deficiency was introduced by Hodges and Lehmann. It is known that best asymptotically normal (BAN) estimators are second order asymptotically efficient in the class A2 of all second order asymptotically median unbiased estimators.In this paper it is shown that the asymptotic deficiency of any two estimators in the restricted class ...
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Appendix: Asymptotic Estimates and Series
Advanced Structured Materials, 2019G. Mikhasev, H. Altenbach
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SIAM Journal of Control and Optimization, 2015
G. Befekadu, P. Antsaklis
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G. Befekadu, P. Antsaklis
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Deterministic Estimation and Asymptotic Stochastic Estimation
1981Let t → x(t) be a state process and consider observations t → y(t) of a signal t → h(x(t)) in the presence of additive white noise ẏ = h(x) + v. The stochastic filter is the map that associates to each observation record y(τ), 0 ≤ τ ≤ t, the conditional mean E( ∅ (x(t)) ∣ y(τ), 0 ≤ τ ≤ t).
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Asymptotics for Configural Estimators.
1984Abstract : This paper examines the asymptotic properties of compromise estimators. By this we mean an estimation method which compromises between a finite number of sampling situations in a small sample optimal way. We develop the asymptotic theory of such estimators and show that under a specific choice of sampling situations the compromise estimator ...
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Asymptotic and Combinatorial Estimates
2008The aim of this chapter is to introduce some results on asymptotic and combinatorial estimates.
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