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Dive into the world of statistical modeling with "Generalized Linear Models With Examples in R" by Peter K. Dunn and Gordon K. Smyth. This insightful textbook, a part of the Springer Texts in Statistics Series, is an essential resource for students and practitioners alike, offering a comprehensive exploration of generalized linear models. The 2018 edition ensures that you're equipped with the latest techniques and methodologies in the field. The book's hardcover format measures at 9.3 inches in length and 6.1 inches in width, making it a substantial yet manageable addition to your reference library. With 562 pages of detailed content, it promises a rich learning experience in subjects ranging from programming languages to mathematics, all presented in clear and accessible English.
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