Process Improvement using Data: Designed Experiments; Latent Variables (PCA, PLS, multivariate methods with missing data); Process Monitoring; Batch data analysis.
Project description
Process Improvement (using Data)
This is a package that goes with the online book of the same title, Process Improvement using Data.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
process-improve-0.9.37.tar.gz
(1.4 MB
view hashes)
Built Distribution
Close
Hashes for process_improve-0.9.37-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d62393bd3a4504b3645732864fb39e5b3add7125738a3f86b30f0d1710ca367 |
|
MD5 | 0084d69943bbc66f90df0f269b8a1570 |
|
BLAKE2b-256 | 45aab3589e724c787b4ca39da74325021b681a073d0bc1cabd92e57521531907 |