All of Statistics: A Concise Course in Statistical Inference (Springer Texts…

«All of Statistics: A Concise Course in Statistical Inference» by Larry A. Wasserman is a comprehensive textbook on statistical inference aimed at students in science and mathematics. Published by Springer New York in 2003, this hardcover book covers a range of subjects including numerical analysis, probability and statistics, and system theory. With 442 pages, the book provides a thorough introduction to the fundamentals of statistical inference, making it an essential resource for those looking to deepen their understanding of this key area of study.

Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…

Introduction to Statistical Learning: With Applications in R is a comprehensive textbook exploring topics in computers, mathematics, and statistical software. Published by Springer New York in 2017, this book offers a detailed introduction to statistical learning methods with a focus on R programming. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this hardcover textbook is a valuable resource for students and professionals interested in mathematical and statistical software, probability and statistics, and artificial intelligence and semantics. With 426 pages and a series of informative examples and exercises, this textbook provides a thorough introduction to the field of statistical learning.