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A Study to Predict Eid Al-Fitr Day in Oman using Markov Chain Technique

Mohammed Razeeuddin *, B. V. Senthil Kumar**

*_**Section of Mathematics, Department of Information and Technology, Nizwa College of Technology (Nizwa), Sultanate of Oman.

Periodicity:January - March'2019
DOI : https://doi.org/10.26634/jmat.8.1.16233

Abstract

Markov chain is a powerful technique employed to forecast the variations in the sharemarket, customer behaviour, marketing, customers' brand loyalty, weather, game of golf, weather report, gold rate, conversion of currency rate, etc. This study focuses on research discrete-time Markov chain. Some significant properties of Markov chains are evoked and then the research and knowledge gained on Markov chains is applied to predict Eid al-Fitr day for the succeeding years and also in the long run. The Eid al-Fitr day for each year depends only on the previous year Eid al-Fitr day and not on its previous years' Eid al-Fitr days. The authors have also justified is study that the application of Markov chain is an appropriate process in predicting Eid al-Fitr day in Oman.

Keywords

Probability, Markov chain, Transition probability matrix

How to Cite this Article?

Razeeuddin, M., Kumar, B. V. S. (2019). A Study to Predict Eid al-Fitr Day in Oman using Markov Chain Technique. i-manager's Journal on Mathematics, 8(1), 8-15 https://doi.org/10.26634/jmat.8.1.16233

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