<電子ブック>
Analysis of Neural Data / by Robert E. Kass, Uri T. Eden, Emery N. Brown
(Springer Series in Statistics. ISSN:2197568X)
版 | 1st ed. 2014. |
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出版者 | (New York, NY : Springer New York : Imprint: Springer) |
出版年 | 2014 |
大きさ | XXV, 648 p. 135 illus., 118 illus. in color : online resource |
著者標目 | *Kass, Robert E author Eden, Uri T author Brown, Emery N author SpringerLink (Online service) |
件 名 | LCSH:Biometry LCSH:Neurosciences LCSH:Neuropsychology LCSH:Statistics FREE:Biostatistics FREE:Neuroscience FREE:Neuropsychology FREE:Statistical Theory and Methods |
一般注記 | Introduction -- 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 Continual 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 HTTP:URL=https://doi.org/10.1007/978-1-4614-9602-1 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9781461496021 |
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電子リソース |
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EB00223093 |
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※2017年9月4日以降