All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Larry Wasserman 作者

Springer

译者

2007-05-22 出版日期

284 页数

USD 84.95 价格

Hardcover

Springer Texts in Statistics 丛书系列

9780387251455 图书编码

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书图书标签: 统计非参数统计非参数 Statistics 概率论与数理统计中阶 textbook統計 @網

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All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书用户评价

评分☆☆☆☆☆

The chapter on minimax theory is readable, other parts are weird.

评分☆☆☆☆☆

The best book on non-parametric statistics I have read so far, bar none. Concisely covered so many modern topics in less than 300 pages. An intellectual delight.

评分☆☆☆☆☆

The best book on non-parametric statistics I have read so far, bar none. Concisely covered so many modern topics in less than 300 pages. An intellectual delight.

评分☆☆☆☆☆

The chapter on minimax theory is readable, other parts are weird.

评分☆☆☆☆☆

The best book on non-parametric statistics I have read so far, bar none. Concisely covered so many modern topics in less than 300 pages. An intellectual delight.

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书著者简介

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书图书目录

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书图书描述

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.

All of Nonparametric Statistics (Springer Texts in Statistics) 在线电子书下载 mobi epub pdf txt 在线电子书下载

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