pca: A Python Package for Principal Component Analysis.
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hotelling-t2
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Python implementation of the control charts used for process monitoring and anomaly detection
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- Python
The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, semi-minor, and semi-major axes lengths.
pca outliers rstats principal-component-analysis partial-least-squares-regression pls confidence-ellipse hotelling-t2 hotelling-s-t-square hotelling-ellipse multivariate-distribution hotellings-t2-distribution
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A collection of simple parameter estimation and significance tests for the comparison of multivariate means and variation, covered in Chapters 4 and 5 of the book Multivariate Statistical Methods. A Primer. 5th edition.
statistical-inference hypothesis-testing multivariate-analysis levene-test covariance-matrices two-sample-t-test multivariate-analysis-in-r statistical-estimation hotelling-t2 one-way-manova van-valen-test box-m-test penrose-distance
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Hotellings T^2 Statistics Two sample Problem
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Python package for creating and analyzing confidence ellipses, including Hotelling's T-squared ellipses for multivariate statistical analysis and data visualization.
confidence-intervals confidence-ellipse hotelling-t2 confidence-ellipsoid hotellings-t2-distribution hotelling-t2-ellipse
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Analyze a dataset on muscular dystrophy and make statistical inferences
data-science statistical-analysis logistic-regression k-means-clustering linear-discriminant-analysis-lda hotelling-t2
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