Chicago Manual of Style 18th Edition University of Chicago Press Hardcover

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The Chicago Manual of Style 18th Edition published by University of Chicago Press is a comprehensive reference guide for authorship, publishing, style manuals, grammar, and writing skills. This hardcover textbook authored by the University of Chicago Press Editorial Staff covers a wide range of subjects within Language Arts & Disciplines. With 1192 pages, it provides detailed guidelines and resources for writers looking to improve their craft and adhere to the standards of scholarly writing. This 18th edition is a valuable tool for anyone seeking to enhance their writing skills and ensure their work is presented in a clear and professional manner.

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Spon’s Mechanical and Electrical Services Price Book 2020 (Spon’s Pr… Hardback

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Book Binding:N/A. Book Condition:LIKENEW. All of our paper waste is recycled within the UK and turned into corrugated cardboard. World of Books USA was founded in 2005. We want your experience with World of Books to be enjoyable and problem free.

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Fund Corp Fin, Ross

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Fund Corp Fin. We all like the idea of saving a bit of cash, so when we found out how many good quality used products are out there - we just had to let you know! World of Books USA was founded in 2005.

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Fund Corp Fin, Ross

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Fund Corp Fin. We all like the idea of saving a bit of cash, so when we found out how many good quality used products are out there - we just had to let you know! World of Books USA was founded in 2005.

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Springer Texts in Statistics Ser.: Modern Multivariate Statistical Techniques

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The "Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning" is a comprehensive textbook authored by Alan Julian Izenman. Published by Springer New York in 2008, this hardcover book covers a variety of subjects including computer science, mathematics, and statistical analysis. With a length of 9.3 inches and a width of 6.1 inches, this textbook contains 733 pages filled with valuable insights on modern multivariate statistical techniques. It is a valuable resource for students and professionals alike who are interested in regression, classification, and manifold learning. Binding split otherwise excellent condition.

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