Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,228

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Introduction to Multivariate Statistical Analysis in Chemometrics

Varmuza, Kurt, Filzmoser, Peter·2016·CRC Press eBooks

Abstract

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as

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 · 10.1201/9781420059496

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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

Show all 1 references

Cited by

See all 1,228

Metadata

Authors
Varmuza, K., & Filzmoser, P.
Venue
CRC Press eBooks
Publisher
CRC Press
Published
2016-04-19
OpenAlex
W1418475881
Cited by
1,228
References
1
FWCI
28.77
Type
book
Language
en
Open access
closed

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: Introduction to Multivariate Statistical Analysis in Chemometrics. https://app.cochat.ai/papers/10.1201/9781420059496
The paper
Varmuza, K., & Filzmoser, P. (2016). Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press eBooks. https://doi.org/10.1201/9781420059496

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.