Regression Models for Data Science in R

Regression Models for Data Science in R

简介:

本书的理想读者将是定量识字的,并且对统计概念和R编程有基本的了解。学生应该有一个基本的理解统计推断,如包含在 https://leanpub.com/LittleInferenceBook/.本书从实用的角度对回归模型的基本概念进行了严格的处理。阅读本书并观看相关视频后,学生将能够执行多变量回归模型并理解其解释。

英文简介:

The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in https://leanpub.com/LittleInferenceBook/.

The book gives a rigorous treatment of the elementary concepts of Regression Models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations.

书名
Regression Models for Data Science in R
译名
中的数据科学回归模型
语言
英语
年份
2015
页数
137页
大小
3.77 MB
标签
  • 数据科学
  • 下载
    pdf iconRegression Models for Data Science in R.pdf
    密码
    65536

    最后更新:2025-04-12 23:57:41

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