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Analyzing the large numbers of variables in biomedical and satellite imagery / Phillip I. Good.

By: Good, Phillip I.
Material type: materialTypeLabelBookPublisher: Hoboken, N.J. : Wiley, ©2011Description: 1 online resource (185 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9780470937259; 0470937254; 9780470937273; 0470937270; 9781118002148; 1118002148.Subject(s): 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 processingGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Analyzing the large numbers of variables in biomedical and satellite imagery.DDC classification: 006.3/12 Online resources: Wiley Online Library
Contents:
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.
Summary: 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.
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Includes bibliographical references (pages 165-173) and index.

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.

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.

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