A Modern Introduction to Probability and Statistics: Understanding Statistical Principles in the Age of the Computer

Upton, Graham

ISBN 10: 0198943121 / ISBN 13: 9780198943129

Published by Oxford Univ Pr, 2025

About this Item

400 pages. 7.60x0.79x10.04 inches. In Stock.

Seller Inventory # __0198943121

Bibliographic Details

• Title: A Modern Introduction to Probability and Statistics: Understanding Statistical Principles in the Age of the Computer
• Publisher: Oxford Univ Pr
• Publication Date: 2025
• Language: English
• ISBN 10: 0198943121
• ISBN 13: 9780198943129
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.95 kilograms

About this title

Synopsis

Probability and statistics are subjects fundamental to data analysis, making them essential for efficient artificial intelligence. Although the foundational concepts of probability and statistics remain constant, what needs to be taught is constantly evolving.

The first half of the book introduces probability, conditional probability and the standard probability distributions in the traditional way. The second half considers the power of the modern computer and our reliance on technology to do the calculations for us.

Offering a fresh presentation that builds on the author's previous book, Understanding Statistics, this book includes exercises (with solutions at the rear of the book) and worked examples. Chapters close with a brief mention of the relevant R commands and summary of the content. Increasingly difficult mathematical sections are clearly indicated, and these can be omitted without affecting the understanding of the remaining material.

Aimed at first year graduates, this book is also suitable for readers familiar with mathematical notation.

About the Author

Graham J. G Upton

Graham Upton is a retired Professor of Applied Statistics, formerly of the Department of Mathematical sciences at The University of Essex. He has published numerous books, including The Oxford Dictionary of Statistics, Data Analysis: A Gentle Introduction for Future Data Scientists, and Understanding Statistics with OUP.