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Time-Series Forecasting Model for Evaluating Reliability in Smallholder Farms Systems in Rwanda: A Theoretical Framework

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Bibliographic Details
Main Authors:	Umuhire, Rugamba, Ndayezovu, Habyarimana, Rimbamvuku, Nyirimpimana, Kigobeye, Kabwandabi
Format:	Recurso digital
Language:	English
Published:	Zenodo 2003
Subjects:	Rwanda Smallholder Farms Agricultural Systems Time-Series Analysis Forecasting Models Methodology Reliability Assessment
Online Access:	Acceder al recurso
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_version_	1866901519083765760
author	Umuhire, Rugamba Ndayezovu, Habyarimana Rimbamvuku, Nyirimpimana Kigobeye, Kabwandabi
author_facet	Umuhire, Rugamba Ndayezovu, Habyarimana Rimbamvuku, Nyirimpimana Kigobeye, Kabwandabi
contents	<p>This study aims to evaluate the reliability of smallholder farms systems in Rwanda by developing a time-series forecasting model. A theoretical framework will be developed, incorporating the application of a time-series forecasting model with robust standard errors to ensure reliable predictions. This theoretical framework provides a validated method for assessing the reliability of smallholder farms systems with practical application potential. Implementing this model can enhance decision-making and resource allocation in Rwanda's agricultural sector. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p>
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_18766895
institution	Zenodo
language	eng
publishDate	2003
publisher	Zenodo
record_format	zenodo
spellingShingle	Time-Series Forecasting Model for Evaluating Reliability in Smallholder Farms Systems in Rwanda: A Theoretical Framework Umuhire, Rugamba Ndayezovu, Habyarimana Rimbamvuku, Nyirimpimana Kigobeye, Kabwandabi Rwanda Smallholder Farms Agricultural Systems Time-Series Analysis Forecasting Models Methodology Reliability Assessment <p>This study aims to evaluate the reliability of smallholder farms systems in Rwanda by developing a time-series forecasting model. A theoretical framework will be developed, incorporating the application of a time-series forecasting model with robust standard errors to ensure reliable predictions. This theoretical framework provides a validated method for assessing the reliability of smallholder farms systems with practical application potential. Implementing this model can enhance decision-making and resource allocation in Rwanda's agricultural sector. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p>
title	Time-Series Forecasting Model for Evaluating Reliability in Smallholder Farms Systems in Rwanda: A Theoretical Framework
topic	Rwanda Smallholder Farms Agricultural Systems Time-Series Analysis Forecasting Models Methodology Reliability Assessment
url	https://doi.org/10.5281/zenodo.18766895