MARC Record from harvard_bibliographic_metadata

LEADER: 02841cam a22005894a 4500
001 011588637-0
005 20121006022331.0
008 080530s2008 nyua b 001 0 eng
010 $a 2008930095
015 $aGBA854151$2bnb
016 7 $a101481871$2DNLM
016 7 $a014583724$2Uk
020 $a9780387781907 (alk. paper)
020 $a0387781900 (alk. paper)
020 $a9780387781914 (e-ISBN)
020 $a0387781919 (e-ISBN)
035 0 $aocn222154507
040 $aNLM$cNLM$dDLC$dUKM$dBTCTA$dBAKER$dYDXCP$dOHX$dBWX$dCDX$dCUS
042 $apcc
050 00 $aRC386.6.M34$bL39 2008
060 00 $a2008 M-318
060 10 $aWL 300$bL4308s 2008
082 00 $a616.8/047540072$222
100 1 $aLazar, Nicole A.
245 14 $aThe statistical analysis of functional MRI data /$cNicole A. Lazar.
260 $aNew York :$bSpringer,$cc2008.
300 $axiv, 299 p. :$bill. ;$c24 cm.
490 1 $aStatistics for biology and health
504 $aIncludes bibliographical references (p. [264]-281) and index.
520 $aOne of the most intriguing questions facing modern science is the inner workings of the human brain. Functional magnetic resonance imaging (fMRI) is a powerful tool used to study the human brain in action. The data produced from mapping the active processes within the brain present many challenges to statisticians, computer scientists, engineers and other data analysts, due to their complex structure and the ever-increasing sophistication of the scientific questions being posed by researchers. This book represents the first in-depth discussion of statistical methodology, which it couples with an introduction to the scientific background needed to understand the data. The book is a valuable resource for statisticians who want to learn more about this growing field, and for neuroscientists who want to learn more about how their data can be analyzed.
650 22 $aStatistics as Topic.
650 22 $aModels, Statistical.
650 22 $aMagnetic Resonance Imaging$xstatistics & numerical data.
650 22 $aMagnetic Resonance Imaging$xmethods.
650 12 $aBrain$xphysiology.
650 0 $aBrain$xMagnetic resonance imaging$xStatistics.
650 0 $aMagnetic resonance imaging$xStatistics.
650 0 $aStatistics.
650 0 $aNeurosciences.
650 0 $aBioinformatics.
650 0 $aPsychological tests and testing.
650 14 $aStatistics.
650 24 $aPsychological Methods/Evaluation.
650 24 $aSignal, Image and Speech Processing.
650 24 $aBioinformatics.
650 24 $aStatistics for Life Sciences, Medicine, Health Sciences.
650 24 $aNeurosciences.
655 7 $aStatistics.$2fast
830 0 $aStatistics for biology and health.
830 0 $aStatistics for Biology and Health,$x1431-8776
988 $a20081015
906 $0OCLC