├── LICENSE
├── README.md
└── multivariate_statistics.ipynb


/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2018 Alvaro Calle Cordon
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/README.md:
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 1 | # Statistical Process Control (SPC)
 2 | 
 3 | ## Introduction
 4 | 
 5 | This repo contains some personal notes about SPC basic concepts. 
 6 | 
 7 | SPC is a method of quality control which employs statistical methods to monitor and control a process. The aim is to ensure that the process is operating efficiently within specified conditions and reducing variation about a target value. 
 8 | 
 9 | SPC is a sector of statistics dealing with the effort of improving quality constantly. It is extensively used in industry to keep manufacturing processes under control, but its tools are also used in various fields of science such as medicine, environment, economics, text analyses and informatics. The most valuable tool of SPC is control charts. These charts give a graphical appearance of the process giving the ability to any manager with or without the knowledge of statistics to immediately understand if the process is under control or not. 
10 | 
11 | ## Contents
12 | 
13 | This repository provides a notebook with basic concepts about uni- and multivariate statistical process control tools. Among them, we review:
14 | 
15 | - Shewhart control chart
16 | - Uni and multivariate CUMSUM control charts
17 | - Uni and multivariate EWMA control chart
18 | - Chi-square control chart
19 | - Hotelling T^2 chart
20 | 
21 | The notebook makes a comparative using a set of R libraries and customized python code.
22 | 


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