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000722552 019__ $$a877363497
000722552 020__ $$a9781461496021$$qelectronic book
000722552 020__ $$a1461496020$$qelectronic book
000722552 020__ $$z9781461496014
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000722552 0247_ $$a10.1007/978-1-4614-9602-1$$2doi
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000722552 035__ $$aSP(OCoLC)873846377$$z(OCoLC)877363497
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000722552 050_4 $$aQP357.5
000722552 08204 $$a612.8$$b23$$222
000722552 1001_ $$aKass, Robert E.,$$eauthor.
000722552 24510 $$aAnalysis of neural data$$h[electronic resource] /$$cRobert E. Kass, Uri T. Eden, and Emery N. Brown.
000722552 264_1 $$aNew York :$$bSpringer,$$c[2014]
000722552 300__ $$a1 online resource (790 pages) :$$billustrations.
000722552 336__ $$atext$$btxt$$2rdacontent
000722552 337__ $$acomputer$$bc$$2rdamedia
000722552 338__ $$aonline resource$$bcr$$2rdacarrier
000722552 4901_ $$aSpringer series in statistics,$$x0172-7397
000722552 504__ $$aIncludes bibliographical references and index.
000722552 5050_ $$aIntroduction -- Exploring Data -- Probability and Random Variables -- Random Vectors -- Important Probability Distributions -- Sequences of Random Variables -- Estimation and Uncertainty -- Estimation in Theory and Practice -- Uncertainty and the Bootstrap -- Statistical Significance -- General Methods for Testing Hypotheses -- Linear Regression -- Analysis of Variance -- Generalized Regression -- Nonparametric Regression -- Bayesian Methods -- Multivariate Analysis -- Time Series -- Point Processes -- Appendix: Mathematical Background -- Example Index -- Index -- Bibliography.
000722552 506__ $$aAccess limited to authorized users.
000722552 520__ $$aContinual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
000722552 588__ $$aDescription based on print version record.
000722552 650_0 $$aNeural analyzers.
000722552 650_0 $$aNeuropsychological tests.
000722552 650_0 $$aNeurosciences.
000722552 650_2 $$aNeurons.
000722552 7001_ $$aEden, Uri T.,$$eauthor.
000722552 7001_ $$aBrown, E. N.$$q(Emery N.),$$eauthor.
000722552 77608 $$iPrint version:$$tAnalysis of neural data. Kass, Uri Eden, Emery N. Brown$$z1461496012$$w(OCoLC)872622840
000722552 830_0 $$aSpringer series in statistics.
000722552 852__ $$bebk
000722552 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4614-9602-1$$zOnline Access$$91397441.1
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000722552 980__ $$aEBOOK
000722552 980__ $$aBIB
000722552 982__ $$aEbook
000722552 983__ $$aOnline
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