Essential Statistical Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Dennis D. Boos 作者

Springer

譯者

2013-2-6 出版日期

568 頁數

USD 99.00 價格

Hardcover

叢書系列

9781461448174 圖書編碼

Essential Statistical Inference 在線電子書圖書標籤: 統計統計進階統計推斷統計學 textbook統計 @網

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發表於2024-09-30

Essential Statistical Inference 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Essential Statistical Inference 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Essential Statistical Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Essential Statistical Inference 在線電子書用戶評價

評分☆☆☆☆☆

寫的非常非常好，讀完之後，可以對統計推斷有個較為全麵的認識。需要一定的基礎纔能讀·~·

評分☆☆☆☆☆

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.

評分☆☆☆☆☆

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.

評分☆☆☆☆☆

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.

評分☆☆☆☆☆

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

Essential Statistical Inference 在線電子書著者簡介

Essential Statistical Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Essential Statistical Inference 在線電子書圖書描述

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 在線電子書下載 mobi epub pdf txt 在線電子書下載

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