All of Nonparametric Statistics (Springer Texts in Statistics)

All of Nonparametric Statistics (Springer Texts in Statistics)

Larry Wasserman


This textual content offers the reader with a unmarried publication the place they could locate bills of a couple of up to date matters in nonparametric inference. The publication is aimed toward Masters or PhD point scholars in statistics, laptop technological know-how, and engineering. it's also appropriate for researchers who are looking to wake up to hurry speedy on smooth nonparametric tools. It covers a variety of issues together with the bootstrap, the nonparametric delta approach, nonparametric regression, density estimation, orthogonal functionality tools, minimax estimation, nonparametric self belief units, and wavelets. The book’s twin process features a mix of method and theory.

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