International Journal of Modern Statistics
The International Journal of Modern Statistics (IJMS) is a journal that publishes original and high-quality research papers in statistics and related fields. It is peer-reviewed, open access, and global. The journal covers both theory and practice of statistics, and provides free online access to its articles. The authors keep the rights to their articles and can reuse them. The journal is indexed in several databases and issues certificates for publication. Publishing in CARI Journals is beneficial for researchers who want to reach a large and diverse audience, increase their citation and visibility, and advance statistics and related fields.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
An Algorithm for Predicting Coffee Prices Using ARIMA Model
Purpose: In this study, an algorithm for predicting coffee prices was developed incorporating the ARIMA model. The Algorithm simplifies the process of finding the optimal parameter values (p,d,q) for the ARIMA model. Methodology: Secondary data from the Uganda Coffee Development Authority monthly reports was used. The data involved monthly coffee prices of Arabica and Robusta coffee for the years 2014-2021. CRISP-DM methodology and Python programming language were used. Arabica and Robusta coffee prices for the years 2019-2022 were predicted. Findings: The study showed seasonality in the prices. Unique Contribution to Theory, Practice and Policy: The study recommends that coffee farmers, traders, cooperatives, and the Uganda Coffee Development Authority use the forecasting tool, link it to market information platforms for easy access to regular price updates, and enhance it to track seasonal price changes.
Copyright (c) 2025 Celia Ahumuza, Pius Ariho https://creativecommons.org/licenses/by/4.0
Purpose: This paper examined how research paradigms determine, among many other things, the types of data collected and the methods used to collect and analyze the data. The key differences and similarities between qualitative and quantitative approaches were identified, before explaining why and how mixed methods research is conducted. Methodology: The paper reviewed extant literature touching on qualitative, quantitative, and mixed methods research designs. Findings: The paper highlighted the conditions that favor the use of the mixed methods research design. In addition, the advantages associated with mixed methods research design were emphasized in the paper. Unique Contribution to Theory, Policy and Practice: The paper pointed the need to consider a researcher’s paradigm, ontology, epistemology, axiology, methodology, and methods when deciding the research design to adopt. The authors recommended greater adoption of the mixed methods research design among academicians and practitioners, especially when the research issues are multifaceted, broad, and complex.
Copyright (c) 2025 Benjamin Mwanzia Mulili, Dr. Samuel Mwangi Maina, Dr. Reuben Njuguna Kinyuru https://creativecommons.org/licenses/by/4.0