All Entries Tagged statistics

Principal components analysis (PCA) using a sequential method
The singular value decomposition is usually presented as the way to calculate the PCA decomposition of a data matrix. The NIPALS algorithm is a very computationally tractable way of calculating ...

Patsy
A Python package for describing statistical models and for building design matrices (mostly, though not exclusively, for standard regression/classification problems). It is closely inspired by and compatible with the ...
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 by Nathaniel Smith
 on 02 August 2012

Ndimensional normal probability density function
Comments are in docstrings. Implements 1D and ND normal distribution PDFs : http://en.wikipedia.org/wiki/Normal_distribution http://en.wikipedia.org/wiki/Multivariate_normal_distribution Not tested in the nonzero offdiagonal covariance ...
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 by matthew.brett
 on 24 November 2012

Design of Experiments for Python
A new library for generating experimental design matrices for: Factorial (Full and Fractional) Response Surface Randomized has been created and posted on the Python Package Index. Source code can be ...

SciPy Lectures Notes
These are a consistent set of materials to learn the core aspects of the scientific Python ecosystem, from beginner to expert. They are written and maintained by a set of ...
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 by Nicolas Rougier
 on 28 September 2015