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
Gradational Gaussian Distribution
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.
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