Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Multivariate Analysis For Neuroimaging DataISBN13:9780367255329ISBN10:0367255324Author:Kawaguchi, Atsushi (Author)Description:This Book Describes Methods For Statistical Brain Imaging Data Analysis From Both The Perspective Of Methodology And From The Standpoint Of Application For Software Implementation In Neuroscience Research These Include Those Both Commonly Used (Traditional Established) And State Of The Art Methods The Former Is Easier To Do Due To The Availability Of Appropriate Software To Understand The Methods It Is Necessary To Have Some Mathematical Knowledge Which Is Explained In The Book With The Help Of Figures And Descriptions Of The Theory Behind The Software In Addition, The Book Includes Numerical Examples To Guide Readers On The Working Of Existing Popular Software The Use Of Mathematics Is Reduced And Simplified For Non-Experts Using Established Methods, Which Also Helps In Avoiding Mistakes In Application And Interpretation Finally, The Book Enables The Reader To Understand And Conceptualize The Overall Flow Of Brain Imaging Data Analysis, Particularly For Statisticians And Data-Scientists Unfamiliar With This Area The State Of The Art Method Described In The Book Has A Multivariate Approach Developed By The Authors' Team Since Brain Imaging Data, Generally, Has A Highly Correlated And Complex Structure With Large Amounts Of Data, Categorized Into Big Data, The Multivariate Approach Can Be Used As Dimension Reduction By Following The Application Of Statistical Methods The R Package For Most Of The Methods Described Is Provided In The Book Understanding The Background Theory Is Helpful In Implementing The Software For Original And Creative Applications And For An Unbiased Interpretation Of The Output The Book Also Explains New Methods In A Conceptual Manner These Methodologies And Packages Are Commonly Applied In Life Science Data Analysis Advanced Methods To Obtain Novel Insights Are Introduced, Thereby Encouraging The Development Of New Methods And Applications For Research Into Medicine As A Neuroscience Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2021-07-01Weight:0 lbsDimensions:Number of Pages:215Language:English
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Book Title: Multivariate Analysis For Neuroimaging Data
Number of Pages: 224 Pages
Language: English
Publication Name: Multivariate Analysis for Neuroimaging Data
Publisher: CRC Press LLC
Publication Year: 2021
Subject: Life Sciences / Neuroscience, Probability & Statistics / General, Internal Medicine, Statistics
Item Weight: 20.4 Oz
Type: Textbook
Subject Area: Business & Economics, Science, Mathematics, Medical
Author: Atsushi Kawaguchi
Item Length: 9.2 in
Item Width: 6.1 in
Format: Hardcover