03867nam a22006255i 4500 978-3-031-68862-1 DE-He213 20251030113100.0 cr nn 008mamaa 240923s2024 sz | s |||| 0|eng d 9783031688621 978-3-031-68862-1 10.1007/978-3-031-68862-1 doi QA276-280 PBT bicssc MAT029000 bisacsh PBT thema Gunning, Edward. author. aut http://id.loc.gov/vocabulary/relators/aut 84855 Functional Data Analysis in Biomechanics [electronic resource] : A Concise Review of Core Techniques, Applications and Emerging Areas / by Edward Gunning, John Warmenhoven, Andrew J. Harrison, Norma Bargary. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 89 p. 35 illus., 30 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Statistics, 2191-5458 - 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. 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. Statistics . 65982 Quantitative research. Biometry. 65981 Sports sciences. 67947 Statistics. 65982 Applied Statistics. 65986 Data Analysis and Big Data. Biostatistics. 65985 Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 66911 Sport Science. 68591 Statistical Theory and Methods. Warmenhoven, John. author. aut http://id.loc.gov/vocabulary/relators/aut 84856 Harrison, Andrew J. author. aut http://id.loc.gov/vocabulary/relators/aut 84857 Bargary, Norma. author. aut http://id.loc.gov/vocabulary/relators/aut 84858 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031688614 Printed edition: 9783031688638 SpringerBriefs in Statistics, 2191-5458 84859 https://doi.org/10.1007/978-3-031-68862-1 ZDB-2-SMA ZDB-2-SXMS 63643 63643