✦ LIBER ✦

Functional Data Analysis. Springer Series in Statistics

✍ Scribed by J.O. Ramsay; B.W. Silvermann

Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 35 KB
Volume: 40
Category: Article
ISSN: 0323-3847
DOI: 10.1002/(sici)1521-4036(199804)40:1<56::aid-bimj56>3.0.co;2-#

No coin nor oath required. For personal study only.

✦ Synopsis

Data which have the form of functions appear frequently as results of registration and measurement, of course also in biometry. This book presents a complete methodology for the statistical handling of such data, beginning with registration and representation. Various methods of smoothing play an important role, where particular emphasis is given to regularisation. Another important statistical method is principal component analysis (pca), which tries to solve analogous problems as classical pca in multivariate statistics. Also differentiation of empirical functions and relationships to differential equations are discussed.

This is an excellent, well written book for applied statisticians, in a similar style as Silverman's successful book on density estimation.

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