Handbook of Neuroimaging Data Analysis

— —

Hernando Ombao Martin Lindquist (Johns Hopkins University, Baltimore, Maryland, USA)

Handbook of Neuroimaging Data Analysis

Hernando Ombao, Martin Lindquist (Johns Hopkins University, Baltimore, Maryland, USA), Wesley Thompson (Primary affiliation: Institute of Biological Psychiatry, Denmark; Secondary affiliation: University of California, San Diego, La Jolla, USA) , John Aston (University of Cambridge, UK)

$378

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Chapman & Hall/CRC
14 November 2016

Neurology & clinical neurophysiology; Medical imaging; Probability & statistics; Neurosciences

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

Edited by: Hernando Ombao, Martin Lindquist (Johns Hopkins University, Baltimore, Maryland, USA), Wesley Thompson (Primary affiliation: Institute of Biological Psychiatry, Denmark; Secondary affiliation: University of California, San Diego, La Jolla, USA), John Aston (University of Cambridge, UK)
Imprint: Chapman & Hall/CRC
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm, Spine: 33mm
Weight: 1.678kg
ISBN: 9781482220971
ISBN 10: 1482220970
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Pages: 702
Publication Date: 14 November 2016
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Overview. Imaging Modalities. Statistical Methods and Models.

Hernando Ombao is Professor in the Department of Statistics at the University of California, Irvine and Fellow of the American Statistical Association. Martin Lindquist is Professor in the Department of Biostatistics at Johns Hopkins University and Fellow of the American Statistical Association. Wesley Thompson is Associate Professor in the Department of Psychiatry at the University of California, San Diego and Lead Scientist at the Institute of Biological Psychiatry, Mental Health Services, Copenhagen, Denmark. John Aston is Professor in the Statistical Laboratory at the University of Cambridge and Fellow of the American Statistical Association.

Reviews for Handbook of Neuroimaging Data Analysis

Handbook of Neuroimaging Data Analysis is a great source to help you get started . . . If you find a particular modality that interests you, just email one of the authors in the book who also works on data analysis within that modality. They are all friendly and helpful, and they will point you to sources of publically available data. ~Timothy D. Johnson