Modelo matemático tipo datos de panel para predecir el peso de pollo de engorde en Avidesa Mac Pollo S.A.
El presente trabajo tiene como propósito elaborar un modelo matemático tipo datos de panel para predecir el peso de aves en Avidesa Mac Pollo S.A, para tal fin se elabora la estimación de parámetros por medio de un modelo de regresión lineal tipo datos de panel mediante la metodología de efectos fij...
- Autores:
-
Molina Jimenez, Lizeth Mayerly
- Tipo de recurso:
- http://purl.org/coar/version/c_b1a7d7d4d402bcce
- Fecha de publicación:
- 2016
- Institución:
- Universidad Industrial de Santander
- Repositorio:
- Repositorio UIS
- Idioma:
- spa
- OAI Identifier:
- oai:noesis.uis.edu.co:20.500.14071/34734
- Palabra clave:
- Modelo Matemático
Datos De Panel
Efecto Fijo
Sección Cruzada
Galpón
Predicción
Peso.
This work has the purpose to develops a mathematical model data panel type for prediction the weight in birds in Avidesa Mac Pollo S.A
for that end
the parameter estimation to use a lineal regression model data panel type by fixed effects metology of cross section
the estimate is using ordinary least squares The information used corresponds to a database type panel that relates the origin
weekly performances and results sacrifice of 10377 fattenings during the years 2012 to 2014
evaluating the impact of performance early in the weight achieved at the end of the process
the variable selection was performed by means of hypothesis testing and linear regressions that allowed if there was evidence individually and jointly impact of the variables on the weight of the birds. The mathematical model defines parameters for each of the age of prediction
you still are between weeks 3 and 5 of the birds
the model is designed to make predictions of weight between weeks 6 and 7
suitable for poultry . The weight sacrifice prediction intented to support the bird´s programming sacrifice of 765 sheds
the data panel methodology assess the effect of each of the sheds on the weight of the birds
and incorporated in the model error as indicated by the fixed effects methodology.
- Rights
- License
- Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)