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1. 
Cover image for MULTIVARIATE STATISTICS classical foundations and modernmachine learning.
MULTIVARIATE STATISTICS classical foundations and modernmachine learning.
Author 
Ishwaran, Hemant.
Preferred Shelf Number 
QA278
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003493679
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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2. 
Cover image for Using multivariate statistics : Pearson new international edition
Using multivariate statistics : Pearson new international edition
Author 
Tabachnick, Barbara G. Fidell, Linda S.
Preferred Shelf Number 
QA278 T31 2014
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3. 
Cover image for Applied multivariate statistics for the social sciences
Applied multivariate statistics for the social sciences
Author 
Stevens, James (James Paul)
Preferred Shelf Number 
ONLINE
Electronic Access 
Click here to view
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4. 
Cover image for Applied multivariate statistics for the social sciences
Applied multivariate statistics for the social sciences
Author 
Stevens, James.
Preferred Shelf Number 
QA 278 .S74 2002
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5. 
Cover image for Multivariate statistics high-dimensional and large-sample approximations
Multivariate statistics high-dimensional and large-sample approximations
Author 
Fujikoshi, Yasunori, 1942- Ulyanov, Vladimir V., 1953- Shimizu, Ryoichi, 1931- Wiley InterScience (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
Wiley InterScience An electronic book accessible through the World Wide Web; click for information
Ebook Library http://public.eblib.com/EBLPublic/PublicView.do?ptiID=698785
http://site.ebrary.com/lib/alltitles/Doc?id=10494728
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6. 
Cover image for An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics
An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics
Author 
Cook, R. Dennis, author.
Preferred Shelf Number 
QA278 .C648 2018
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119422976
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7. 
Cover image for Multivariate statistics and machine learning : an introduction to applied data science using R and python
Multivariate statistics and machine learning : an introduction to applied data science using R and python
Author 
Denis, Daniel J., 1974- author.
Preferred Shelf Number 
Q325.5 .D46 2026 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003376941
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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8. 
Cover image for Applied univariate, bivariate, and multivariate statistics using Python
Applied univariate, bivariate, and multivariate statistics using Python
Author 
Denis, Daniel J., 1974- author.
Preferred Shelf Number 
QA276.45 .P98 D46 2021
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119578208
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9. 
Cover image for Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS
Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS
Author 
Pituch, Keenan A. Stevens, James P.
Preferred Shelf Number 
QA278 S74 2016
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10. 
Cover image for Understanding the new statistics effect sizes, confidence intervals, and meta-analysis
Understanding the new statistics effect sizes, confidence intervals, and meta-analysis
Author 
Cumming, Geoff.
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ONLINE
Electronic Access 
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11. 
Cover image for Symbolic data analysis conceptual statistics and data mining
Symbolic data analysis conceptual statistics and data mining
Author 
Billard, L. (Lynne), 1943- Diday, E. Wiley InterScience (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
John Wiley http://dx.doi.org/10.1002/9780470090183
HathiTrust Digital Library, Limited view (search only) http://catalog.hathitrust.org/api/volumes/oclc/71189860.html
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12. 
Cover image for Multivariate Bayesian statistics : models for source separation and signal unmixing
Multivariate Bayesian statistics : models for source separation and signal unmixing
Author 
Rowe, Daniel B., author.
Preferred Shelf Number 
QA279.5 .R68 2003
Electronic Access 
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