A method for the prediction of the shrinkage in roasted and ground coffee using multivariable statistics

This study seeks to determine the influence of process variables: consumption percentage in the mixture, pasilla percentage in the mixture, storage time, humidity percentage in the product for consumption, humidity percentage in the pasilla, humidity percentage in roasted coffee, average humidity in...

Full description

Autores:

Parody Muñoz, Alexander Elias
Charris, Dhizzy
amelec, viloria
Cervera Cárdenas, Jorge Eduardo
Hernandez, Hugo

Tipo de recurso:

http://purl.org/coar/resource_type/c_816b

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/8019

Acceso en línea:

https://hdl.handle.net/11323/8019
https://doi.org/10.1007/978-981-15-5558-9_12
https://repositorio.cuc.edu.co/

Palabra clave:

Multiple linear regression
Shrinkage in a process
Humidity
Statistical quality control

Rights

openAccess

License

CC0 1.0 Universal