Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,830

The DOI matches its Crossref record.

Functional Data Analysis

Ramsay, J. O.·2005·Encyclopedia of Statistical Sciences

Abstract

When either data or the models for them involve functions, and when only weak assumptions about these functions such as smoothness are permitted, familiar statistical methods must be modified and new approaches developed in order to take advantage of this smoothness. The first part of the article considers some general issues such as characteristics of functional data, uses of derivatives in functional modelling, estimation of phase variation by the alignment or registration of curve features, the nature of error, and so forth. The second section describes functional versions of traditional methods such principal components analysis and linear modelling, and also mentions purely functional approaches that involve working with and estimating differential equations in the functional data analysis process.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/0471667196.ess3138

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 10

  1. 10.1007/b97589 · DOI
  2. Hastie T., 1993, Journal of the Royal Statistical Society, 757
  3. Heckman N., 2000, Canadian Journal of Statistics, 241
  4. Fan J., 1996, Local Polynomial Modeling and Its Application—Theory and Methodologies
  5. 10.1007/978-1-4757-7107-7 · DOI · Paper page
  6. Ramsay J. O., 2000, Canadian Journal of Statistics, 225
  7. Ramsay J.O., 1991, Journal of the Royal Statistical Society, Series B, 539
  8. 10.1007/b98886 · DOI · Paper page
  9. Ramsay T., 2002, Journal of the Royal Statistical Society, Series B, 307
  10. 10.2307/1427576 · doi:10.2307/1427576 · Paper page

Cited by

See all 2,830

Metadata

Authors
Ramsay, J. O.
Venue
Encyclopedia of Statistical Sciences
Publisher
Wiley
Published
2005-12
OpenAlex
W3021971632
Cited by
2,830
References
0
Type
reference entry
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Functional Data Analysis. https://app.cochat.ai/papers/10.1002/0471667196.ess3138
The paper
Ramsay, J. O. (2005). Functional Data Analysis. Encyclopedia of Statistical Sciences. https://doi.org/10.1002/0471667196.ess3138

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.