Statistical Inference via Data Science pdf epub mobi txt 電子書下載2025

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出版者:CRC Press

作者:Chester Ismay

出品人:

頁數:430

译者:

出版時間:2019-12-13

價格:0

裝幀:Paperback

isbn號碼:9780367409821

叢書系列:

圖書標籤:

R語言
R
CSS
統計推斷
數據科學
貝葉斯方法
機器學習
R語言
Python
統計建模
數據分析
推斷統計
概率論

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具體描述

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.

作者簡介

目錄資訊

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
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