Mathematical Statistics with Applications

by Richard L. Scheaffer, Dennis D. Wackerly, William Mendenhall

Book Overview

In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0534377416
• ISBN13: 9780534377410
• Release Date: May 2001
• Publisher: Duxbury Resource Center
• Length: 854 Pages
• Weight: 3.36 lbs.
• Dimensions: 1.5" x 7.7" x 9.5"

Customer Reviews

Great book on the subject

I've read through Chapter 6 so far on a self-study basis and done lots of the problems. This book was challenging but overall very beneficial to my understanding.

Good Book

this book is great in that the problems are at the end of each section compared to the end of each chapter

quick

I order this book and got it the very next day. I was glad that my professor allowed the old edition and all in all i am picking things up well even though he teaches from the new one.

Good text overall

In my opinion this is one of the best texts for introductory statistics. It contains a lot of useful material and is nice to read quickly since important formulas are highlighted. Examples are also helpful to learn the material. The only problem is that sometimes the excercises are too much of a real-world kind, which can be annoying if your course is theoretical. Still, I think that this book is always nice to have around in case you forget some things on probability or stats.

Best statistics book for econometricians

This book is a book on mathematical statistics and hence goes further than most entry-level statistics books, which mostly deal with business statistics. This book does not reinvent the wheel, but is goes further where other books end. You will find a mathematical explanation and theorems are proved as well. Soms more advanced topics are moment generating functions and power tests. The consequention is that the learning curve is steeper. At my university, econometrics students use this book, and they couldn't have made a better choice. Logically, since econometricians don't have enough on a book with only a minor focus on formulas.