All of Nonparametric Statistics - 9781441920447

Description: All of Nonparametric Statistics Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Larry Wasserman Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441920447, 978-1441920447 Synopsis This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book's dual approach includes a mixture of methodology and theory.

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Book Title: All of Nonparametric Statistics

Number of Pages: 270 Pages

Publication Name: All of Nonparametric Statistics

Language: English

Publisher: Springer-Verlag New York Inc.

Item Height: 235 mm

Subject: Computer Science, Mathematics

Publication Year: 2010

Type: Textbook

Item Weight: 439 g

Author: Larry Wasserman

Item Width: 155 mm

Series: Springer Texts in Statistics

Format: Paperback