m walter levine (40 risultati)

Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condizione: Good. A sound copy with only light wear. Overall a solid copy at a great price!

hardcover. Condizione: Very Good.

Condizione: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: Very Good. 1st Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: As New. Looks new, tight clean unmarked with bright white pages, no creases no slant.

Condizione: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Softcover. Condizione: Near Fine. First edition. Red wrappers. 95-188pp. Spine lightly tanned and cocked, corners bumped, near fine. Articles, notes and queries, and book reviews by Leonard W. Moss, Stephen C. Cappannari, Merle L. Simmons, Robert Stevenson, Morris E. Opler, Macedward Leach, Ed Cray, Tristram P. Coffin, Americo Paredes, S.J. Sackett, Walter E. Boyer, Leonard Roberts, Howard Mumford Jones, Daniel G. Hoffman, Bela Gunda, Morton Y. Jacobs, Claude M. Simpson, Norman Cazden, Morton H. Levine, Arthur Freeman, Richard M. Dorson, Wolf Leslau, Gertrude P. Kurath, Marshall W. Stearns, Charles O. Frake, David Bidney, Bacil F. Kirtley, Carmen Cook de Leonard, and J. David Sapir.

Hardcover. Condizione: Brand New. 280 pages. 9.10x6.10x1.00 inches. In Stock.

80 pp.; 22.9 x 15.2 cm.; glue bound; black-and-white; edition size unknown; unsigned and unnumbered; offset-printed Exhibition catalogue published in conjunction with show held May 31 - June 30, 1984. Organized by Linda Cathcart. Text by Linda Shearer, Susan Wyatt, and Linda Cathcart. Artists include Ericka Beckman, Gretchen Bender, Dara Birnbaum, Eric Bogosian, Jonathan Borofsky, Troy Brauntuch, Michael Brewster, Gary Burnley, Scott Burton, Michael Byron, Cynthia Carlson, James Casebere, Louisa Chase, Charles Clough, Arch Connelly, Marcia Dalby, Carroll Dunham, Nancy Dwyer, William Fares, R.M. Fischer, Hermine Ford, Stephen Frailey, Bobby G., Jack Goldstein, Don Gummer, David Haxton, Biff Henrich, Jenny Holzer, Rebecca Howland, Mel Kendrick, Jon Kessler, Jeff Koons, Barbara Kruger, Thomas Lanigan-Schmidt, Thomas Lawson, John Lees, Sherrie Levine, Robert Longo, Ree Morton, Matt Mullican, Nic Nicosia, Kevin Noble, Tom Otterness, Ken Pelka, Judy Pfaff, Ellen Phelan, Adrian Piper, James Pomeroy, Richard Prince, Walter Robinson, Tim Rollins, Ellen Rumm, Christy Rupp, David Salle, Cindy Sherman, Laurie Simmons, Charles Simonds, Michael Smith, Philip Smith, Ted Stamm, Donald Sultan, John Torreano, Roger Welch, Yunque, and Michael Zwack. Very Good / Fine. Light dusting to covers. Contents clean and unmarked.

Condizione: New. In.

Paperback. Condizione: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condizione: New. An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques. Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find: A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areasComprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learningPerfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.

Hardcover. Condizione: new. Hardcover. An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques. Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find: A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areasComprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learningPerfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. WALTER W. PIEGORSCH is Professor of Mathematics at the University of Arizona and Director of Statistical Research & Education at the University s BIO5 Institute. He is also a former Chair of the UArizona Interdisciplinary Program in Statistics, and a past e.

Condizione: New.

Hardcover. Condizione: new. Hardcover. An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques. Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find: A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areasComprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learningPerfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New.

Condizione: New. 2022. 1st Edition. Hardback. . . . . .

Hardcover. Condizione: Brand New. 1250 pages. 9.60x6.69x1.10 inches. In Stock.

Hardback. Condizione: New. An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques. Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find: A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areasComprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learningPerfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.