Introduction To Mathematical Statistics Principles & Methods(1st Edition)

Authors:

Erwin Kreyszig

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

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Book details

ISBN: 047150730X, 978-0471507307

Book publisher: John Wiley & Sons

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Book Price $0 : Erwin Kreyszig's 'Introduction to Mathematical Statistics: Principles & Methods' provides a comprehensive exploration of statistical methods and the mathematical principles underlying these techniques. This foundational text delves into probability theory, statistical inference, and the application of statistical models. Kreyszig meticulously covers methodologies like hypothesis testing, variance analysis, and regression, making it an invaluable resource for students and professionals seeking to understand the intricacies of mathematical statistics. A systematic 'table of content' guides the reader through fundamental and advanced concepts, while the text is enhanced by a variety of examples and exercises, promoting hands-on learning. The book is accompanied by a detailed solution manual, which serves as a helpful tool for self-study. Additionally, an answer key is provided to facilitate quick verification of solutions to the exercises. Equations and statistical models are introduced in a clear, logical manner, making advanced mathematical theories accessible. The book's reception among academia reflects its utility in fostering a robust understanding of statistics, appealing to students in fields like data science, economics, and mathematics. This text stands out due to its integration of theory with practical applications, establishing a solid foundation for learners pursuing advanced statistical studies. The cheap edition is perfect for students requiring an economical way to supplement their learning.

Customer Reviews

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Carl Lawson
5.0
This book is a fantastic resource for anyone venturing into the field of mathematical statistics. The explanations are clear and concise, making difficult concepts much more approachable. The problem sets are well-designed to reinforce the theory presented in each chapter. I was particularly impressed with how examples were chosen to directly relate to real-world applications, which is often missing in technical books. Furthermore, it arrived ahead of schedule, well-packaged, and in pristine condition. As a bonus, I used my student membership to get an extra discount, making this an even better investment. Highly recommended for students and professionals alike!