Essential Statistical Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Dennis D. Boos 作者

Springer

译者

2013-2-6 出版日期

568 页数

USD 99.00 价格

Hardcover

丛书系列

9781461448174 图书编码

Essential Statistical Inference 在线电子书图书标签: 统计统计进阶统计推断统计学 textbook統計 @網

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Essential Statistical Inference 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Essential Statistical Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Essential Statistical Inference 在线电子书用户评价

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I only selectively read about 80% of all the materials. Very practical and comprehensive, a must-read to learn about more advanced statistical inference tools.

评分☆☆☆☆☆

I only selectively read about 80% of all the materials. Very practical and comprehensive, a must-read to learn about more advanced statistical inference tools.

评分☆☆☆☆☆

写的非常非常好，读完之后，可以对统计推断有个较为全面的认识。需要一定的基础才能读·~·

评分☆☆☆☆☆

I only selectively read about 80% of all the materials. Very practical and comprehensive, a must-read to learn about more advanced statistical inference tools.

评分☆☆☆☆☆

5.2 Essential Statistical Inference - Boos and Stefanski (Springer, 2013)

Essential Statistical Inference 在线电子书著者简介

Essential Statistical Inference 在线电子书图书目录

Essential Statistical Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Essential Statistical Inference 在线电子书图书描述

This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology. Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.

Essential Statistical Inference 在线电子书下载 mobi epub pdf txt 在线电子书下载

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