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Implementation of nonparametric method and numerical applications

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Nonparametric Statistics for Stochastic Processes

Part of the book series: Lecture Notes in Statistics ((LNS,volume 110))

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Abstract

In this final chapter we discuss practical implementation of kernel estimators and predictors and we give numerical examples with some comments. We only examine the case of discrete data.

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© 1998 Springer Science+Business Media New York

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Bosq, D. (1998). Implementation of nonparametric method and numerical applications. In: Nonparametric Statistics for Stochastic Processes. Lecture Notes in Statistics, vol 110. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1718-3_8

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  • DOI: https://doi.org/10.1007/978-1-4612-1718-3_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98590-9

  • Online ISBN: 978-1-4612-1718-3

  • eBook Packages: Springer Book Archive

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