Fit autoregressive models with skewed generalized error distribution (SGED) noise whose parameters vary with level
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Updated
Apr 26, 2026 - Python
Fit autoregressive models with skewed generalized error distribution (SGED) noise whose parameters vary with level
Automated Process Capability Analysis (SPC) tool for massive production datasets. Supports Normal and Non-Normal distributions, Box-Cox/Johnson transformations, and automated subgroup reporting. Built as a high-performance alternative to manual statistical software.
Gradational Gaussian Distribution
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