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Statistical Approximation Theory for Multivariate Stochastic Processes

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Towards Intelligent Modeling: Statistical Approximation Theory

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 14))

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Abstract

In this chapter, we obtain some Korovkin-type approximation theorems for multivariate stochastic processes with the help of the concept of A-statistical convergence. A non-trivial example showing the importance of this method of approximation is also introduced. This chapter relies on [26].

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© 2011 Springer-Verlag Berlin Heidelberg

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Anastassiou, G.A., Duman, O. (2011). Statistical Approximation Theory for Multivariate Stochastic Processes. In: Towards Intelligent Modeling: Statistical Approximation Theory. Intelligent Systems Reference Library, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19826-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-19826-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19825-0

  • Online ISBN: 978-3-642-19826-7

  • eBook Packages: EngineeringEngineering (R0)

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