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Vorhersage bei stochastischen Prozessen mit linearem Regressionsanteil.I

 

作者: Henning Läuter,  

 

期刊: Mathematische Operationsforschung und Statistik  (Taylor Available online 1971)
卷期: Volume 2, issue 1  

页码: 69-85

 

ISSN:0047-6277

 

年代: 1971

 

DOI:10.1080/02331887108801035

 

出版商: Akademie-Verlag

 

数据来源: Taylor

 

摘要:

The author considers models of the formcontaining as special cases the finite dimensional regression models. Let β(μ) be an unknown functionfor u ∈U⊆R1andx(s, u)be known functions being integrable relative tou.Let further be. Knowing a realisation of the processyt,t∈Tthe processys,s∈Sshall ne predicated. As risque of a predictionp(s)ofyswe utilizeUnder certain propositions the author determines a best linear homogeneous resp, a best linear homogeneous unbiased resp a best linear inhomogeneous prediction using functional analytical methods without demanding regularity properties of the covariance operator from ϵt.

 

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