A Modern Introduction to Probability and Statistics: Understanding Why and How

by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Genres: Mathematics, Nonfiction, Science, Computer Science, Textbooks, School, Reference

504 pages, Hardcover

First published February 14, 2006

Reviews

[Navid Ghorbanali · Rating 5 out of 5]

One of the best introductory statistics books ever written. The examples are well motivated and interesting, and the writers do a phenomenal job on building up the intuition behind the methods and the math - the one that always sticks out to me is the 'computer chip' example when introducing the key idea behind Maximum Likelihood Estimation.

A joy to read and a superb choice for an undergraduate level introduction, an overlooked gem.

[Rebecca · Rating 3 out of 5]

I could not read it before/during my course since the text was too hard, but I hope I can read it later to refresh my memory after the course. The formulas are presented well in grey boxes, the figures, exercies and solutions are good.

[Zen · Rating 5 out of 5]

It strengthens students' intuition, which is much needed at the undergraduate level.

[Sourav Chakraborty · Rating 4 out of 5]

A decent book for the introduction of the subject. A concise and example driven text with exercises.

[Darin · Rating 5 out of 5]

This has become one of my favorite statistics book. It consists of 28 chapters on specific topics (e.g., Central Limit Theorem) and includes topics that are unusual in most statistics book. Some of the material is calculus-based, making this text somewhat like a mathematical statistics book. I wouldn't recommend this as someone's introduction to statistics although it might be OK as a supplement to another book. The chapters are short and focus on the big picture.

[Ed van der Winden · Rating 5 out of 5]

I worked my way through this book, doing many of the exercises, to get (re)aquainted with the subject. When you put in the work it goes a long way in explaining quite a large amount of both probability and statistics.

[Melissa · Rating 4 out of 5]

Good book, but hard to follow sometimes.