W. D. Brinda
Visualizing Linear Models
Visualizing Linear Models
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Excellent- More about Visualizing Linear Models
This book provides a visual and intuitive coverage of the core theory of linear models, with three chapters developing the essentials and accompanied by review chapters and practice exercises. It is an excellent basis for a one-semester course on statistical theory and linear modeling.
Format: Hardback
Length: 167 pages
Publication date: 25 February 2021
Publisher: Springer Nature Switzerland AG
This comprehensive book offers a visually engaging and intuitive exploration of the fundamental principles of linear models. Its primary goal is to enhance fluency in the underlying mathematics and cultivate a profound comprehension of the core concepts. It serves as an excellent foundation for a one-semester course on statistical theory and linear modeling, suitable for intermediate undergraduates or graduate students.
The book is structured into three chapters, each preceded by a review chapter that covers a prerequisite topic. This pedagogical approach ensures a gradual and systematic development of linear model theory.
To enhance the retention of the material, the book is supplemented with a comprehensive bank of practice exercises. These exercises are designed to provide students with hands-on experience and further reinforce their understanding of the topics covered. The exercises are available in both digital and print formats, catering to the preferences of students.
Throughout the book, two distinct and complementary types of visualization are presented: the "observations picture" and the "variables picture." These visualizations help students grasp the relationships and interactions between the variables in a linear model, facilitating a deeper understanding of the underlying mathematics.
By offering a visual and comprehensive approach, this book aims to make the study of linear models accessible and engaging for students with a range of backgrounds. It serves as a valuable resource for anyone seeking to develop a strong foundation in statistical theory and linear modeling, paving the way for further research and applications in the field.
Weight: 426g
Dimension: 159 x 241 x 18 (mm)
ISBN-13: 9783030641665
Edition number: 1st ed. 2021
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