Lean & Six Sigma
statsmodels provides classes and functions for estimating statistical models, running hypothesis tests, and exploring data in Python.
A Python library for statistical modeling, hypothesis testing, regression, ANOVA, diagnostics, and data exploration.
OpenTURNS is an open-source software library for uncertainty treatment in probabilistic numerical simulations.
A Python/C++ library for uncertainty quantification, sensitivity analysis, reliability analysis, and probabilistic modeling.
PyDOE is a Python package for design of experiments (DOE), enabling scientists, engineers, and statisticians to efficiently construct experimental designs.
A Python package for constructing factorial, fractional-factorial, response-surface, and other design-of-experiments matrices.