Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data (2nd Edition) Your Indispensable Tool
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Book Description:
ISBN-13: 9781498730143
This book provides a comprehensive overview of linear modeling techniques for analyzing unbalanced data using Analysis of Variance (ANOVA), design, and regression methods. The second edition of this book offers updated and expanded content to help researchers and statisticians navigate the complexities of analyzing unbalanced data sets.
The book covers the fundamental principles of ANOVA, design, and regression, and provides practical guidance on how to apply these techniques to real-world data sets. It includes detailed explanations of how to design experiments, choose appropriate statistical models, and interpret the results of linear models.
Additionally, the book explores advanced topics such as mixed models, generalized linear models, and hierarchical linear models, offering readers a deeper understanding of how to analyze complex data structures. The authors also provide examples and case studies to illustrate the concepts discussed in the book, making it a valuable resource for both beginners and experienced researchers in the field of statistics and data analysis.
This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.
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