Chapman and Hall/Crc the R Ser.: Statistical Inference Via Data Science : A Mode
Specifications
| Features | Revised |
| ISBN | 9780367409821 |
| Subject Area | Mathematics |
| Publisher | CRC Press LLC |
| Item Length | 10 in |
| Publication Year | 2019 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.9 in |
| Item Weight | 30 Oz |
| Item Width | 7 in |
| Number Of Pages | 430 Pages |
"Statistical Inference Via Data Science: A Modern Dive into R and the Tidyverse" is a comprehensive textbook authored by Albert Y. Kim and Chester Ismay. Published in 2019 by CRC Press LLC as part of the Chapman and Hall/CRC the R Series, this 430-page book offers an in-depth exploration of statistical inference and regression analysis through the lens of data science. With a focus on the R programming language and Tidyverse ecosystem, this trade paperback publication provides readers with a practical and modern approach to statistical analysis. Perfect for students and professionals in the field of mathematics and data science, this book is a valuable resource for those looking to enhance their understanding of statistical inference techniques.