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Foundations of Linear and Generalized Linear Models, ISBN-13: 978-1118730034
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"Foundations of Linear and Generalized Linear Models" provides a comprehensive introduction to the theoretical foundations and practical applications of linear and generalized linear models. The book covers essential statistical principles, explores various regression techniques, and discusses how to appropriately fit models to data. Emphasizing both the mathematical underpinnings and the computational aspects, it guides readers through the process of model selection, assessment, and interpretation, making it an invaluable resource for students and practitioners in statistics and data analysis.
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Title: Foundations of Linear and Generalized Linear Models
Authors: Lawrence D. Brown, S. K. K. Noether
Publisher: Wiley
Publication Year: 2014
ISBN-13: 978-1118730034
Pages: 432
Language: English
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"Foundations of Linear and Generalized Linear Models" provides a comprehensive exploration of both traditional linear models and their generalized counterparts, seamlessly integrating theory with practical applications. The book emphasizes the importance of understanding the underlying statistical principles while also equipping readers with the necessary tools to apply these concepts in real-world scenarios. Through clear explanations, illustrative examples, and robust exercises, it serves as an essential resource for students and practitioners alike, fostering a solid foundation in statistical modeling techniques critical for data analysis and interpretation in various fields.
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PDF – ePub: Foundations of Linear and Generalized Linear Models, ISBN-13: 978-1118730034
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