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.
点击下载:
PDF (1061KB)
返 回