An Unbiased Time Series Modelling of Annual Rainfall Measurement of Assam and Meghalaya Province of the Eastern Himalayan Region

Authors

  • Bishal Deka Statistical Analyst, Tata Consultancy Service, Mumbai, India
  • Ankur Sharmah School of Sciences, Tezpur University, India
  • Monalisha Sharma School of Sciences, Tezpur University, India

Keywords:

Time series analysis, rainfall model, Monsoon in Assam, Meghalaya rainfall, Autoregressive (AR) model

Abstract

Time Series analysis is very widely used for the forecasting purpose. This paper maneuvers this technique to build a contemporary autoregressive model of order 6, which can predict the annual rainfall measurement of different provinces in North Eastern region of Indian continent. The data that will be used for modeling is the annual rainfall measurement data of this region for the period 1901 to 2017.

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Published

28-03-2022

Issue

Vol. 3 No. 3 (2022)

Section

Articles

License

Copyright (c) 2022 Bishal Deka, Ankur Sharmah, Monalisha Sharma

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
B. Deka, A. Sharmah, and M. Sharma, “An Unbiased Time Series Modelling of Annual Rainfall Measurement of Assam and Meghalaya Province of the Eastern Himalayan Region”, IJRAMT, vol. 3, no. 3, pp. 107–109, Mar. 2022, Accessed: Nov. 21, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/1872