Introduction To Mixed Modelling(2nd Edition)
Authors:
N. W. Galwey
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1119945496, 9781119945499
Book publisher: Wiley
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Book Price $0 : In 'Introduction to Mixed Modelling' by N. W. Galwey, the second edition provides a comprehensive overview of mixed modeling, an essential statistical methodology widely utilized in data analysis across various scientific domains. The book skillfully explains the integration of fixed and random effects within hierarchical models, offering insightful approaches for complex data interpretation. Galwey's book covers foundational concepts, extending to advanced topics such as repeated measures, nested random effects, and interaction analysis, which are instrumental for users wanting to grasp mixed-effects models deeply. The well-structured table of content guides readers through a series of chapters enriched with statistical methodologies including ANOVA and linear regression techniques, making navigation and reference straightforward. The inclusion of a solution manual and answer key significantly enriches the learning experience, providing practical insight and example-driven understanding that reinforce theoretical concepts. Aimed at both practitioners and students, the book has been critically acclaimed for its clarity and comprehensiveness, making it an indispensable resource for those engaging in big data analytics or experimental design. Additionally, the integration of software application sections for R and SAS offers pragmatic applications, further corroborating its utility in real-world scenarios. With a keen focus on statistical rigor, this text stands as an exemplary guide in mixed modeling literature. Those in search of a cheap yet reliable study guide will find this book particularly beneficial.
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MM
Got it delivered quickly. Informative!
JB
I recently started diving into mixed modeling and found this book to be an exceptional resource. It’s thorough, with plenty of practical examples that elucidate the complex concepts. The author presents the content in a way that's accessible without losing depth. The book arrived quickly and was well-packaged, which is always a bonus! Highly recommended for both students and professionals.
SD
A very helpful introduction to mixed modeling, covering a wide range of topics concisely. I appreciated the clear explanations, although some sections could benefit from a bit more detail. Perfect for anyone looking to understand the basics and start applying mixed models in practical contexts. The book was part of my book club selection, and with my subscription, I got a nice extra discount.






























