Statistics for Experimenters 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Statistics for Experimenters

简体网页||繁体网页
George E. P. Box 作者
Wiley-Interscience
译者
2005-5 出版日期
633 页数
USD 168.00 价格
Hardcover
丛书系列
9780471718130 图书编码

Statistics for Experimenters 在线电子书 图书标签: 统计  数学  统计学  DoE  数据处理  实验  statistics  金融   


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发表于2024-12-23


Statistics for Experimenters 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistics for Experimenters 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistics for Experimenters 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Statistics for Experimenters 在线电子书 用户评价

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有点啰嗦 例子还不错

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STAT 424

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有点啰嗦 例子还不错

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有点啰嗦 例子还不错

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好接地气啊

Statistics for Experimenters 在线电子书 著者简介


Statistics for Experimenters 在线电子书 图书目录


Statistics for Experimenters 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Statistics for Experimenters 在线电子书 图书描述

A Classic adapted to modern times

Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.

Providing even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition.

Among the new topics included are:

Graphical Analysis of Variance

Computer Analysis of Complex Designs

Simplification by transformation

Hands-on experimentation using Response Service Methods

Further development of robust product and process design using split plot arrangements and minimization of error transmission

Introduction to Process Control, Forecasting and Time Series

Illustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces

Bayesian approaches to model selection and sequential experimentation

An appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process.

All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages.

Complete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and is a highly recommended course book for undergraduate and graduate students.

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Statistics for Experimenters 在线电子书 读后感

评分

The authors provide many insights about statistics, including the famous 'all models are wrong. Some are useful'. Sometimes they assume that the readers know something we do not necessarily know and I found some explanations are not very clear. The book has...

评分

The authors provide many insights about statistics, including the famous 'all models are wrong. Some are useful'. Sometimes they assume that the readers know something we do not necessarily know and I found some explanations are not very clear. The book has...

评分

The authors provide many insights about statistics, including the famous 'all models are wrong. Some are useful'. Sometimes they assume that the readers know something we do not necessarily know and I found some explanations are not very clear. The book has...

评分

The authors provide many insights about statistics, including the famous 'all models are wrong. Some are useful'. Sometimes they assume that the readers know something we do not necessarily know and I found some explanations are not very clear. The book has...

评分

The authors provide many insights about statistics, including the famous 'all models are wrong. Some are useful'. Sometimes they assume that the readers know something we do not necessarily know and I found some explanations are not very clear. The book has...

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