Statistical Inference via Data Science

Statistical Inference via Data Science pdf epub mobi txt 电子书 下载 2025

出版者:CRC Press
作者:Chester Ismay
出品人:
页数:430
译者:
出版时间:2019-12-13
价格:0
装帧:Paperback
isbn号码:9780367409821
丛书系列:
图书标签:
  • R语言
  • R
  • CSS
  • 统计推断
  • 数据科学
  • 贝叶斯方法
  • 机器学习
  • R语言
  • Python
  • 统计建模
  • 数据分析
  • 推断统计
  • 概率论
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具体描述

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout.

作者简介

目录信息

Preface
1 Getting Started with Data in R
I Data Science via the tidyverse
2 Data Visualization
3 Data Wrangling
4 Data Importing & “Tidy” Data
II Data Modeling via moderndive
5 Basic Regression
6 Multiple Regression
III Statistical Inference via infer
7 Sampling
8 Bootstrapping & Confidence Intervals
9 Hypothesis Testing
10 Inference for Regression
11 Tell the Story with Data
Appendix
A Statistical Background
B Information about R packages Used
Bibliography
Index
· · · · · · (收起)

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