Statistics Toolbox
Analyze and model data using statistics and machine learning
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Exploratory Data Analysis
Data import and export, descriptive statistics, visualization
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Probability Distributions
Data frequency models, random sample generation,
parameter estimation
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Hypothesis Tests
t-test, F-test, chi-square goodness-of-fit test, and
more
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Regression and ANOVA
Linear and nonlinear regression, generalized linear
models, ANOVA
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Machine Learning
Supervised, unsupervised, and ensemble learning
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Multivariate Data Analysis
Multivariate regression, PCA, factor analysis, clustering,
dimension reduction, visualization, and more
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Industrial Statistics
Design of experiments (DOE); survival and reliability
analysis; statistical process control
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