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Basis and Treatment of Cardiac Arrhythmias
Authors: ---
ISSN: 01712004 ISBN: 9783540297154 9783540249672 3540249672 3642063969 9786610618828 1280618825 3540297154 Year: 2006 Volume: v. 171 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Incorporating the information related to mechanisms and treatment of cardiac arrhythmia, this book discusses genetics of arrhythmias, cell signalling molecules as potential therapeutic targets and trafficking to the membrane. These approaches and implementations of anti-arrhythmic therapy derive from many decades of research.

Geometrical foundations of asymptotic inference
Authors: ---
ISBN: 0471826685 Year: 1997 Publisher: New York : Wiley,

Case studies in bayesian statistics
Authors: --- ---
ISBN: 0387951695 0387954724 Year: 2002 Publisher: Berlin Springer

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Book
Analysis of Neural Data
Authors: --- ---
ISBN: 1461496020 1461496012 1322132550 Year: 2014 Publisher: New York, NY : Springer New York : Imprint: Springer,

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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.

Keywords

Statistics. --- Neurosciences. --- Neuropsychology. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistical Theory and Methods. --- Neurophysiology --- Psychophysiology --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Neural analyzers. --- Neuropsychological tests --- Neurosciences --- Evaluation. --- Data processing. --- Neuropsychological assessment --- Neuropsychological evaluation --- Tests, Neuropsychological --- Clinical neuropsychology --- Neurologic examination --- Psychological tests --- Analysor, Neural --- Analyzers, Neural --- Central nervous system --- Senses and sensation --- Psychology, clinical. --- Mathematical statistics. --- Models, Theoretical. --- Probability. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Statistics .


Digital
Analysis of Neural Data
Authors: --- ---
ISBN: 9781461496021 Year: 2014 Publisher: New York, NY Springer

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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.

Case studies in Bayesian statistics
Authors: --- ---
ISBN: 038794043X Year: 1993 Publisher: New York Springer

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Book
Case studies in Bayesian statistics
Authors: --- --- ---
ISBN: 354094043X Year: 1993 Publisher: New York ; Berlin ; London Springer

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Book
Statistical Sciences and Data Analysis
Authors: --- --- --- --- --- et al.
ISBN: 9783112318867 Year: 2020 Publisher: Berlin Boston

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