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-0.9.65.tar.gz
(1.4 MB
view hashes)
Built Distribution
Close
Hashes for process_improve-0.9.65-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c0f9f68ffba7365f346e72e6a7cea3921af8a22f39cb84b4b0091eebeebf39f0 |
|
MD5 | 1f475bd3c051c47c2040935e25b993d4 |
|
BLAKE2b-256 | 40aeaa25c00c7578a863c4bda69c76cad6c396b506f8e071eaee25e9732cb473 |