Computational Statistics(2nd Edition)

Authors:

Geof H. Givens, Jennifer A. Hoeting

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

In Stock: 2 Left

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Book details

ISBN: 0470533315, 9780470533314

Book publisher: Wiley

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Book Price $59.49 : The second edition of 'Computational Statistics' by Geof H. Givens and Jennifer A. Hoeting is a comprehensive resource designed to facilitate a practical understanding of statistical computing and its applications. This edition delves deeply into the integration of modern statistical computing methods such as Markov Chain Monte Carlo (MCMC), the EM algorithm, and bootstrapping, which are essential for tackling complex statistical problems. The book is invaluable for both students and professionals who require a solution manual to navigate its content effectively. The new edition enhances its utility with a detailed table of contents that guides readers through foundational topics, including probability distributions, Bayesian analysis, and regression models. Notably, the authors explore R and MATLAB, equipping readers with practical skills for data analysis and visualization. Readers will appreciate the answer key provided for the exercises, facilitating self-study and comprehension. The book has been well-received for its clear exposition and hands-on approach, supported by real-world examples that illuminate abstract concepts. This serves to build a strong foundation in computational techniques, making it an ideal textbook for advanced undergraduate and graduate courses in statistics. With its emphasis on applied learning and problem-solving, this text is a critical resource in the modern statistical toolkit. Ideal for budget-conscious educators, this cheap guide ensures quality teaching materials are accessible.

Customer Reviews

Trusted feedback from verified buyers

HP
Hazel Price
4.0
Very supportive book that tackles important concepts with clarity. As an intermediate learner, I found its approach quite useful for bridging some knowledge gaps. Though it doesn't cover absolutely everything, it's a great resource regardless. The occasional case study was really insightful. Arrived quickly and I got an extra discount thanks to my premium membership. Will definitely recommend.
PT
Penelope Turner
5.0
This book is a treasure trove for anyone looking to dive into computational statistics. It offers an excellent balance of theory and practical application, which is something I find quite rare. The authors have done a remarkable job in organizing the content logically. Got extra discount with my subscription, which was a nice bonus. It also arrived well-packaged, without a single corner bent. If you're serious about understanding the depths of this subject, this book is a must-have!
EW
Emily Watts
4.0
A comprehensive guide that adeptly balances both theory and practice in computational statistics. The examples and exercises are particularly well-done and make complex topics much easier to grasp. It didn't take long to arrive once ordered. Personally, I would've liked a bit more on advanced techniques, but for most readers, this won't be a drawback. Still, a very solid book that's worth the read!