Nonparametric estimation is a large branch of mathematical statistics dealing with problems of estimating functional or elements of some functional spaces in situations when these are not determined by specifying a finite number of parameters. In this chapter we shall show by means of several examples how the ideas of parametric estimation presented in Chapters I–III can be applied to problems of this kind.
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© 1981 Springer Science+Business Media New York
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Ibragimov, I.A., Has’minskii, R.Z. (1981). Some Applications to Nonparametric Estimation. In: Statistical Estimation. Applications of Mathematics, vol 16. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-0027-2_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4899-0029-6
Online ISBN: 978-1-4899-0027-2
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