Saturday, April 27, 2013

Time Series Modeling of Neuroscience Data

Time Series Modeling of Neuroscience Data



Author: Tohru Ozaki
Edition: 1
Publisher: CRC Press
Binding: Kindle Edition
ISBN: B00847CGWG



Time Series Modeling of Neuroscience Data (Chapman & Hall/CRC Interdisciplinary Statistics)


Due to recent advances in methodology that offer significant improvements over conventional methods, there is increasing interest in the use of time series models for the study of neuroscience data such as EEG, MEG, fMRI, and NIRS. Medical books Time Series Modeling of Neuroscience Data . Medical books Time Series Modeling of Neuroscience Data. Time Series Modeling of Neuroscience Data

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Time Series Modeling of Neuroscience Data

Store Search search Title, ISBN and Author Time Series Modeling of Neuroscience Data by Tohru Ozaki Estimated delivery 3-12 business days Format Hardcover Condition Brand New Due to recent advances in methodology that offer significant improvements over conventional methods, there is increasing interest in the use of time series models for the study of neuroscience data such as EEG, MEG, fMRI, and NIRS. Written by one of the pioneers of these methods, this book presents an overview of time seri

"Due to recent advances in methodology that offer significant improvements over conventional methods, there is increasing interest in the use of time series models for the study of neuroscience data such as EEG, MEG, fMRI, and NIRS. Written by one of the pioneers of these methods, this book presents an overview of time series models for the study of neuroscience data. It is accessible to applied statisticians working with neuroscience data as well as quantitatively trained neuroscientists. The book is supported by many real examples to illustrate the methods and provides useful instructions fo

"Due to recent advances in methodology that offer significant improvements over conventional methods, there is increasing interest in the use of time series models for the study of neuroscience data such as EEG, MEG, fMRI, and NIRS. Written by one of the pioneers of these methods, this book presents an overview of time series models for the study of neuroscience data. It is accessible to applied statisticians working with neuroscience data as well as quantitatively trained neuroscientists. The book is supported by many real examples to illustrate the methods and provides useful instructions fo



Medical Book Time Series Modeling of Neuroscience Data



Written by one of the pioneers of these methods, this book presents an overview of time series models for the study of neuroscience data. It is accessible to applied statisticians working with neuroscience data as well as quantitatively trained neuroscientists. The book is supported by many real examples to illustrate the methods and provides useful instructions for computational problems, which enable readers to develop their own computational toolbox to apply the methods to real data.

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