All of Nonparametric Statistics: A Concise Course in Nonparametric Statistical Inference
Larry Wasserman
84.39 €
0
Numero di Pagine: 268
Editore: Springer-Verlag New York Inc (C); 1st ed. 2005. Corr. 3rd. printing 2007 edizione (27 settembre 2005)
Collana: Springer Series in Statistics
Lingua: Inglese
ISBN-10: 0387251456
ISBN-13: 978-0387251455
Peso Spedizione: 522 g

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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