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Functional Data Analysis with R

Functional Data Analysis with R

Ciprian M. Crainiceanu & Jeff Goldsmith & Andrew Leroux and Erjia Cui
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Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering.
Year:
2024
Edition:
1
Publisher:
CRC Press
Language:
english
Pages:
338
ISBN 10:
1003278728
ISBN 13:
9781003278726
ISBN:
B0CKFJ6JN3
File:
PDF, 42.24 MB
IPFS:
CID , CID Blake2b
english, 2024
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