Analyzing the large numbers of variables in biomedical and satellite imagery / Phillip I. Good. [electronic resource] Good, Phillip I. Data mining. Mathematical statistics. Biomedical engineering Data processing. Remote sensing Data processing. Functions of several complex variables. QA76.9.D343 G753 2011eb 006.3/12 22 Includes bibliographical references (pages 165-173) and index. Print version record. This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling met. Hoboken, N.J. : Wiley, ©2011. ©2011. 2011 Text 1 online resource (185 pages) http://onlinelibrary.wiley.com/book/10.1002/9780470937273 eng Analyzing the large numbers of variables in biomedical and satellite imagery. Analyzing the large numbers of variables in biomedical and satellite imagery.