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Estimation of Mathematical Expectation

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Statistical Analysis of Random Fields

Part of the book series: Mathematics and Its Applications (Soviet Series) ((MASS,volume 28))

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Abstract

Consider the random field

$$ \xi (x)\, = \,\xi _\theta (x)\, = \,g(x,\theta )\, + \,\varepsilon (x), $$
(3.1.1)

where g(x, θ) : R n × ӨcR 1 is a function depending on an unknown parameter θ ∈ Ө ∈ B q and ε (x), xR n, is a random field with zero mean. Assume that in R n a system of measurable bounded sets m = {Δ} is selected and Δ → ∞. The problem is to estimate the parameter θ from observations of the random field ξ(x) on the sets Δ → ∞.

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© 1989 Kluwer Academic Publishers

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Ivanov, A.V., Leonenko, N.N. (1989). Estimation of Mathematical Expectation. In: Statistical Analysis of Random Fields. Mathematics and Its Applications (Soviet Series), vol 28. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1183-3_3

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  • DOI: https://doi.org/10.1007/978-94-009-1183-3_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7027-0

  • Online ISBN: 978-94-009-1183-3

  • eBook Packages: Springer Book Archive

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