TY  - BOOK
AU  - Gunning,Edward
AU  - Warmenhoven,John
AU  - Harrison,Andrew J.
AU  - Bargary,Norma
ED  - SpringerLink (Online service)
TI  - Functional Data Analysis in Biomechanics: A Concise Review of Core Techniques, Applications and Emerging Areas 
T2  - SpringerBriefs in Statistics,
SN  - 9783031688621
AV  - QA276-280 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Statistics 
KW  - Quantitative research
KW  - Biometry
KW  - Sports sciences
KW  - Statistics
KW  - Applied Statistics
KW  - Data Analysis and Big Data
KW  - Biostatistics
KW  - Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Sport Science
KW  - Statistical Theory and Methods
N1  - - 1. Introduction -- 2. Preparing Biomechanical Data for Functional Data Analysis -- 3. Exploring Variation in Biomechanical Data -- 4. Functional Regression Models in Biomechanics -- 5. Case Study: The GaitRec Data -- 6. Future Directions of FDA in Biomechanics
N2  - This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. The core of the book covers smoothing, registration, visualisation, functional principal components analysis and functional regression, framed in the context of the challenges posed by biomechanical data and accompanied by an extensive case study and reproducible examples using R. This book proposes future directions based on recently published methodological advancements in FDA and emerging sources of data in biomechanics. This is a vibrant research area, at the intersection of applied statistics, or more generally, data science, and biomechanics and human movement research. This book serves as both a contextual literature review of FDA applications in biomechanics and as an introduction to FDA techniques for applied researchers. In particular, it provides a valuable resource for biomechanics researchers seeking to broaden or deepen their FDA knowledge
UR  - https://doi.org/10.1007/978-3-031-68862-1
ER  -