A Concise Review of Core Techniques, Applications and Emerging Areas Gunning, Edward. creator author. aut http://id.loc.gov/vocabulary/relators/aut Warmenhoven, John. author. aut http://id.loc.gov/vocabulary/relators/aut Harrison, Andrew J. author. aut http://id.loc.gov/vocabulary/relators/aut Bargary, Norma. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access X, 89 p. 35 illus., 30 illus. in color. online resource. 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. - 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. by Edward Gunning, John Warmenhoven, Andrew J. Harrison, Norma Bargary. Statistics  Quantitative research Biometry Sports sciences Statistics Applied Statistics Data Analysis and Big Data Biostatistics Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Sport Science Statistical Theory and Methods QA276-280 9783031688621 https://doi.org/10.1007/978-3-031-68862-1 https://doi.org/10.1007/978-3-031-68862-1 240923 20251030113100.0 978-3-031-68862-1