Beyond Multiple Linear Regression(1st Edition)

Authors:

Paul Roback, Julie Legler

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

In Stock: 2 Left

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Book details

ISBN: 1439885389, 978-1439885383

Book publisher: Chapman And Hall/CRC

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Book Price $0 : Beyond Multiple Linear Regression by Paul Roback and Julie Legler offers a profound exploration of modern statistical methodologies that extend beyond traditional linear regression techniques. This book serves as a comprehensive guide for leveraging advanced statistical tools such as generalized linear models (GLMs), mixed-effects models, and non-parametric methods to obtain more robust analytical results. The text is structured to provide both theoretical insights and practical applications, making it ideal for students and professionals seeking to enhance their analytical skills. The solution manual accompanying the book proves invaluable, offering detailed problem-solving approaches and an answer key that aids in self-assessment and deeper understanding of statistical concepts. A well-organized table of contents guides readers through a variety of topics, ensuring that complex methodologies are approachable and manageable. Extensive use of R programming language exemplifies modern statistical computation, with examples that are extensively covered to build competence in real-world data analysis scenarios. The book has been well-received for its clarity and breadth, providing not just an academic textbook but a resource that bridges the gap between theory and practice in statistical analytics. Offering a cheap option for supplementing your studies, this guide increases learning efficiency.

Customer Reviews

Trusted feedback from verified buyers

AF
Austin Fleming
5.0
As a data analyst, I've been searching for a book like 'Beyond Multiple Linear Regression' to expand my toolkit beyond basic linear models. This book did not disappoint! The explanations are clear and the examples are incredibly useful for real-world application. The insights on non-linear relationships and other complex regression types were particularly valuable. I ordered it on a Friday and it arrived by Monday morning, allowing me to dive right in over the weekend. If you're looking to deepen your understanding of regression analysis, I highly recommend it.
EW
Elise Wheeler
4.0
This book strikes a fine balance between theory and practical examples. It's perfect for anyone who wants to push beyond the basics of linear regression. The chapter on quantile regression opened my eyes to methods I hadn't considered before. Delivery was prompt, as always with my membership perks. My only gripe is that some sections could use a bit more elaboration. All in all, it's a solid investment for your professional library if you're serious about advanced statistical methods.
AC
Adam Carter
4.0
Super insightful read for those in the data science field. I found the sections on model diagnostics and validation particularly enlightening. Got an extra discount with my membership, so it was a great deal too. Delivery was fast and book arrived in perfect condition. Would have liked a bit more on step-by-step examples but still find it very useful.