Matlab statistical toolbox download
Assign sample variance to different sources and determine whether the variation arises within or among different population groups. Use the Regression Learner app or programmatically train and assess models such as linear regression, Gaussian processes, support vector machines, neural networks, and ensembles. Use the Classification Learner app or programmatically train and validate models such as logistic regression, support vector machines, boosted trees, and shallow neural networks.
Automatically identify the subset of features that provide the best predictive power for machine learning from images, signals, text, and numeric data. Iteratively explore and create new features and select the ones that optimize performance. Reduce dimensionality by transforming existing features into new predictor variables where less descriptive features can be dropped. Fit continuous and discrete distributions, use statistical plots to evaluate goodness-of-fit, and compute probability density functions and cumulative distribution functions for more than 40 different distributions.
Draw inferences about a population based on statistical evidence from a sample. Perform t-tests, distribution tests, and nonparametric tests for one, paired, or independent samples.
Test for autocorrection and randomness, and compare distributions. Statistically analyze effects and data trends. Design experiments to create and test practical plans for how to manipulate data inputs to generate information about their effects on data outputs. Visualize and analyze time-to-failure data with and without censoring and monitor and assess the quality of industrial processes.
Use tall arrays and tables with many classification, regression, and clustering algorithms to train models on data sets that do not fit in memory without changing your code.
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Select the China site in Chinese or English for best site performance. Other MathWorks country sites are not optimized for visits from your location. Toggle Main Navigation. Search Answers Clear Filters. Answers Support MathWorks. Trending from CNET. Image Processing Toolbox for Matlab Free to try.
Speed up your image processing Matlab code with X10 performance gain on average. Image Processing Toolbox for Matlab bit Free to try. Statistics Toolbox Free. Statistics Toolbox is a quick and convenient tool for users to perform common tasks in statistics without writing computer programs. Six Sigma Toolbox Free. Browse, model, and analyze with the operational excellence of spreadsheet-integrating Microsoft Excel add-in.
Grapheme Free to try. Documentation Help Center Documentation. For more information including how to change the default add-on installation folder, see Get and Manage Add-Ons. Assume that you have the myToolbox.
Install the toolbox. If the toolbox contains a licenses agreement, a dialog box opens to prompt you to agree to the license before installation. Install the toolbox and prevent MATLAB from opening the license agreement dialog box by indicating you accept the license.
Name of the toolbox file. The name includes the relative or absolute path to the file.
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