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Phillip I. Good - Analyzing the Large Number of Variables in Biomedical and Satellite Imagery - 9780470927144 - V9780470927144
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Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

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Description for Analyzing the Large Number of Variables in Biomedical and Satellite Imagery Paperback. 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. Num Pages: 200 pages, Illustrations. BIC Classification: MFN; PB; TCB; UNF. Category: (P) Professional & Vocational. Dimension: 233 x 155 x 15. Weight in Grams: 320.
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 methods—the bootstrap, decision trees, ... Read more

Product Details

Format
Paperback
Publication date
2011
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
200
Condition
New
Number of Pages
200
Place of Publication
New York, United States
ISBN
9780470927144
SKU
V9780470927144
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Phillip I. Good
Phillip I. Good, PhD, is Operations Manager at Information Research, a consulting firm specializing in statistical solutions for private and public organizations. He has published more than thirty scholarly works and more than six hundred popular articles. Dr. Good is the author of Introduction to Statistics Through Resampling Methods and R/S-PLUS® and Introduction to Statistics Through Resampling Methods and ... Read more

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