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| 001 | 978-3-031-68862-1 | ||
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_a10.1007/978-3-031-68862-1 _2doi |
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_aGunning, Edward. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984855 |
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| 245 | 1 | 0 |
_aFunctional Data Analysis in Biomechanics _h[electronic resource] : _bA Concise Review of Core Techniques, Applications and Emerging Areas / _cby Edward Gunning, John Warmenhoven, Andrew J. Harrison, Norma Bargary. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aX, 89 p. 35 illus., 30 illus. in color. _bonline resource. |
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_acomputer _bc _2rdamedia |
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_aSpringerBriefs in Statistics, _x2191-5458 |
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| 505 | 0 | _a- 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. | |
| 520 | _aThis 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. | ||
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_aStatisticsĀ . _965982 |
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| 650 | 0 | _aQuantitative research. | |
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| 650 | 1 | 4 |
_aApplied Statistics. _965986 |
| 650 | 2 | 4 | _aData Analysis and Big Data. |
| 650 | 2 | 4 |
_aBiostatistics. _965985 |
| 650 | 2 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _966911 |
| 650 | 2 | 4 |
_aSport Science. _968591 |
| 650 | 2 | 4 | _aStatistical Theory and Methods. |
| 700 | 1 |
_aWarmenhoven, John. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984856 |
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| 700 | 1 |
_aHarrison, Andrew J. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984857 |
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| 700 | 1 |
_aBargary, Norma. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984858 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783031688614 |
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_iPrinted edition: _z9783031688638 |
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_aSpringerBriefs in Statistics, _x2191-5458 _984859 |
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