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Handbook of Neuroimaging Data Analysis de Hernando Ombao

Handbook of Neuroimaging Data Analysis: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Editat de Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston
en Limba Engleză Paperback – 8 noi 2019
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.
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Specificații

ISBN-13: 9780367330699
ISBN-10: 0367330695
Pagini: 704
Ilustrații: 172
Dimensiuni: 178 x 254 x 38 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Cuprins

Overview. Imaging Modalities. Statistical Methods and Models.

Recenzii

"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
"These chapters are primarily written by statisticians, but the book is nicely balanced by contributions from biomedical engineers, psychologists, and cognitive scientists. . . I recommend this book to statisticians interested in learning about neuroimaging and contributing to its growth."
~Journal of the American Statistical Association

Descriere

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.