Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka: 3rd ed.,by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka. Boca Raton, FL: Chapman & Hall/CRC Press, 2017, xxv + 590 pp., $140.00(H), ISBN: 978-1-49-877606-6
It provides brief background of EDA, overview of the covered topics, description of four datasets used throughout the book, and several data transformation techniques. Exploratory data analysis (EDA), "numerical detective work" according to John W. Tukey, is a field in statistics, which explores, an...
| Publicado en: | American Statistician Vol. 76; no. 1; pp. 85 - 87 |
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| Autor principal: | |
| Formato: | Book Review |
| Publicado: |
Taylor & Francis Ltd
Feb 2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=155084566&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 155084566 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031305 STT jtl: American Statistician issn: 00031305 maglogo: Y pubinfo: dt: Feb 2022 vid: 76 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 155084566 10.1080/00031305.2021.2020000 ppf: 85 ppct: 2 formats: tig: atl: Exploratory Data Analysis with MATLAB, 3rd ed., by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka: 3rd ed.,by Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka. Boca Raton, FL: Chapman & Hall/CRC Press, 2017, xxv + 590 pp., $140.00(H), ISBN: 978-1-49-877606-6 aug: au: Ni, Yang affil: Texas A&M University su: Boca Raton (Fla.) Data analysis Independent component analysis Fisher discriminant analysis Probability density function Singular value decomposition Discriminant analysis sug: subj: Boca Raton (Fla.) Data analysis Independent component analysis Fisher discriminant analysis Probability density function Singular value decomposition Discriminant analysis ab: It provides brief background of EDA, overview of the covered topics, description of four datasets used throughout the book, and several data transformation techniques. Exploratory data analysis (EDA), "numerical detective work" according to John W. Tukey, is a field in statistics, which explores, analyzes, and visualizes data without pre-specified hypotheses. Chapters 8-10 introduce various methods for visualizing clusters, univariate and multivariate densities, dependencies, summary statistics, and dimension reduction, with the primary focus on continuous data. pubtype: Review doctype: Book Review src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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