Fair. Corners are bent and or folded on several pages. Moderate wear to cover and or dust jacket. Fading to cover from age. Suitable as a reading copy. All proceeds from purchases from BooksKC go to benefit the Rehabilitation Institute of Kansas City, a nonprofit organization which provides job services, training, and employment to individuals with disabilities.
Good. Connecting readers with great books since 1972. Used books may not include companion materials, some shelf wear, may contain highlighting/notes, may not include cd-om or access codes. Customer service is our top priority!
Good. Connecting readers with great books since 1972. Used books may not include companion materials, some shelf wear, may contain highlighting/notes, and may not include cd-rom or access codes. Customer service is our top priority!
Fine in Wraps: binding square and secure; text clean. Virtually 'As New'. NOT a Remainder, Book-Club, or Ex-Library. 8vo. 496pp. Reprint Edition ; Unabridged and unaltered reprint of the 1961 McGraw-Hill hardcover edition. Trade Paperback. Graduate-level study for engineering students presents elements of modern probability theory, elements of information theory with emphasis on its basic roots in probability theory and elements of coding theory. Emphasis is on such basic concepts as sets, sample space, random variables, information measure, and capacity. Many reference tables and extensive bibliography.
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