The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Principal Components and Factor Analysis: Part I—Principal Components
Abstract
Principal components and factor analysis are two techniques which are finding increasing application to quality engineers who are concerned with processes with more than one response variable. In this, the first of a three-part series, the concept of principal components is introduced. Estimations, significance tests, and residual analysis are presented along with two numerical examples. Parts two and three will be found in succeeding issues.
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Cites
Linear Statistical Inference and its Applications: Second Editon
Rao, C. R. (1973) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316436 · Cited by 10,489
Buckenhueskes, H. J. (2007) · Flavours and Fragrances · doi:10.1007/978-3-540-49339-6_14 · Cited by 1,026
Multivariate Statistical Methods.
Evans, I. G., & Morrison, D. F. (1968) · Applied Statistics · doi:10.2307/2985655 · Cited by 725
Healy, M. J. R., & Kshirsagar, A. M. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2345115 · Cited by 291
The Annals of Mathematical Statistics
(1938) · Journal of the American Statistical Association · doi:10.1080/01621459.1938.10502338 · Cited by 241
Cited by
Bro, R., & Smilde, A. K. (2014) · Anal. Methods · doi:10.1039/c3ay41907j · Cited by 3,038
Issues and recommendations for exploratory factor analysis and principal component analysis
Schreiber, J. B. (2021) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2020.07.027 · Cited by 565
Metadata
- Authors
- Jackson, J. E.
- Venue
- Journal of Quality Technology
- Publisher
- Informa UK Limited
- Published
- 1980-10
- Volume
- 12
- Issue
- 4
- Pages
- 201-213
- ISSN
- 0022-4065 (ISSN-L)
- 2575-6230
- OpenAlex
- W2098006861
- Cited by
- 373
- References
- 5
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
