東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Functional data analysis in biomecha...

Gunning, Edward.

Linked to FindBook

Google Book

Amazon

博客來

Functional data analysis in biomechanics = a concise review of core techniques, applications and emerging areas /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Functional data analysis in biomechanics/ by Edward Gunning ... [et al.].
Reminder of title:	a concise review of core techniques, applications and emerging areas /
other author:	Gunning, Edward.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	x, 89 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	- 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.
Contained By:	Springer Nature eBook
Subject:	Biomechanics. -
Online resource:	https://doi.org/10.1007/978-3-031-68862-1
ISBN:	9783031688621

Functional data analysis in biomechanics = a concise review of core techniques, applications and emerging areas /
Functional data analysis in biomechanicsa concise review of core techniques, applications and emerging areas /[electronic resource] :by Edward Gunning ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 89 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

- 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.

ISBN: 9783031688621

Standard No.: 10.1007/978-3-031-68862-1doiSubjects--Topical Terms:

548685
Biomechanics.

LC Class. No.: QH513

Dewey Class. No.: 571.43

Functional data analysis in biomechanics = a concise review of core techniques, applications and emerging areas /
LDR:02420nmm a2200337 a 4500 001 2375301
003 DE-He213
005 20240923125937.0
006 m d
007 cr nn 008maaau
008 241231s2024 sz s 0 eng d
020 $a 9783031688621 $q (electronic bk.)
020 $a 9783031688614 $q (paper)
024 7 $a 10.1007/978-3-031-68862-1 $2 doi
035 $a 978-3-031-68862-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QH513
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 571.43 $2 23
090 $a QH513 $b .F979 2024
245 0 0 $a Functional data analysis in biomechanics $h [electronic resource] : $b a concise review of core techniques, applications and emerging areas / $c by Edward Gunning ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a x, 89 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-5458
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 $a 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.
650 0 $a Biomechanics. $3 548685
650 1 4 $a Applied Statistics. $3 3300946
650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Biostatistics. $3 1002712
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 3591853
650 2 4 $a Sport Science. $3 2132065
650 2 4 $a Statistical Theory and Methods. $3 891074
700 1 $a Gunning, Edward. $3 3724730
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in statistics. $3 1565658
856 4 0 $u https://doi.org/10.1007/978-3-031-68862-1
950 $a Mathematics and Statistics (SpringerNature-11649)