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Can I read Generalized Linear Models : with Applications in Engineering and the Sciences on EtoBox?

Generalized Linear Models : with Applications in Engineering and the Sciences by Raymond H. Myers; Douglas C. Montgomery; G. Geoffrey Vining; Timothy J. Robinson is a nonfiction available to read on EtoBox.

What is Generalized Linear Models : with Applications in Engineering and the Sciences about?

"Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences." "The authors demonstrate the diverse applications of GLMs through numerous examples, from classical applications in the fields of biology andbiopharmaceuticals to more modern examples related to engineering and quality assurance. The Second Edition has been designed to demonstrate the growing computational nature of GLMs, as SAS, Minitab, JMp, and R software packages are used throughout the book to demonstrate fitting and analysis of generalized linear models, perform inference, and conduct diagnostic checking. Numerous figures and screen shots illustrating computer output are provided, and a related FTP site houses supplementary material, including computer commands and additional data sets." "Generalized Linear Mo

Who reads Generalized Linear Models : with Applications in Engineering and the Sciences?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Raymond H. Myers; Douglas C. Montgomery; G. Geoffrey Vining; Timothy J. Robinson
Publisher
Wiley & Sons, Incorporated, John
Published
2010
Language
EN
ISBN
9780470454633
Category
nonfiction
Subjects
Mathematics, Stem
Rating
3.5 / 5 (2 ratings)
Updated
2026-03-14

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