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ImageTransformation   (Built-in Mathematica Symbol)
ImageTransformation[image, function] gives an image in which each pixel at position {x, y} corresponds to the position function[{x, y}] in image.ImageTransformation[image, ...
KolmogorovSmirnovTest   (Built-in Mathematica Symbol)
KolmogorovSmirnovTest[data] tests whether data is normally distributed using the Kolmogorov\[Dash]Smirnov test.KolmogorovSmirnovTest[data, dist] tests whether data is ...
VarianceTest   (Built-in Mathematica Symbol)
VarianceTest[data] tests whether the variance of the data is one. VarianceTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...
Fit Models with Measurement Errors   (Mathematica How To)
Particularly in the physical sciences, it is common to use measurement errors as weights to incorporate measured variation into the fitting. Weights have a relative effect on ...
SystemsModelParallelConnect   (Built-in Mathematica Symbol)
SystemsModelParallelConnect[sys_1, sys_2] connects TransferFunctionModel or StateSpaceModel objects sys_1 and sys_2 in parallel.SystemsModelParallelConnect[sys_1, sys_2, ...
ShowShortBoxForm   (Built-in Mathematica Symbol)
ShowShortBoxForm is an option for cells that specifies whether box expressions, which are used to represent two-dimensional forms in a cell, are displayed in a more compact ...
SpellingDictionaries   (Built-in Mathematica Symbol)
SpellingDictionaries -> {opt_1 -> val_1, opt_2 -> val_2, ...} is a global option that specifies settings for spell checking.
AutoGeneratedPackage   (Built-in Mathematica Symbol)
AutoGeneratedPackage is an option for notebooks that specifies whether a package is automatically created when a notebook that contains initialization cells or groups is ...
CharacteristicPolynomial   (Built-in Mathematica Symbol)
CharacteristicPolynomial[m, x] gives the characteristic polynomial for the matrix m. CharacteristicPolynomial[{m, a}, x] gives the generalized characteristic polynomial with ...
AndersonDarlingTest   (Built-in Mathematica Symbol)
AndersonDarlingTest[data] tests whether data is normally distributed using the Anderson\[Dash]Darling test.AndersonDarlingTest[data, dist] tests whether data is distributed ...
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