Analyzing the large numbers of variables in biomedical and satellite imagery
Good, Phillip I.
creator
text
bibliography
Electronic books.
Electronic books.
nju
Hoboken, N.J
Wiley
©2011
2011
monographic
eng
1 online resource (185 pages)
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.
Very Large Arrays -- Permutation Tests -- Applying The Permutation Test -- Biological Background -- Multiple Tests -- The Bootstrap -- Classification Methods -- Applying Decision Trees -- Glossary of Biomedical Terminology -- Glossary of Statistical Terminology -- Appendix. An R Primer.
Phillip I. Good.
Includes bibliographical references (pages 165-173) and index.
math
Data mining
Mathematical statistics
Biomedical engineering
Data processing
Remote sensing
Data processing
Functions of several complex variables
Biomedical engineering
Data processing
Data mining
Functions of several complex variables
Mathematical statistics
Remote sensing
Data processing
COMPUTERS
Database Management
Data Mining
Biomedical engineering
Data processing
Data mining
Functions of several complex variables
Mathematical statistics
Remote sensing
Data processing
QA76.9.D343 G753 2011eb
006.3/12
Analyzing the large numbers of variables in biomedical and satellite imagery
Good, Phillip I.
Hoboken, N.J. : Wiley, ©2011
(DLC) 2010030988
(OCoLC)653476377
9780470937259
0470937254
9780470937273
0470937270
9781118002148
1118002148
10.1002/9780470937273 Wiley InterScience
http://dx.doi.org/10.1002/9780470937273
http://dx.doi.org/10.1002/9780470937273
N$T
110322
20230823135759.0
ocn708036686
eng