A Markov chain model for the occurrences of dry and wet days

Authors

  • J. MEDHI

DOI:

https://doi.org/10.54302/mausam.v27i4.2628

Keywords:

Markov chain model, dry and wet days, Gauhati (Airport)

Abstract

Study of rainfall data in India began as early as 1889 with the work of Blanford. His work was extended by Sir Gilbert Walker, Mahalanobis (1940), in his classic work, broke entirely new grounds with sound statistical reasoning in his study of the rainfall, runoff and other meteorological features of the river basins of Orissa. Models based on stochastic processes and time series are now being applied in meteorological studies. Gabriel and Neumann (1962) used a Markov chain model in a study of weather conditions in Tel Aviv. We use here a similar Markov Chain model for the occurrence of dry and wet days in Gauhati (Airport) and test the statistical significance of the model.

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Published

01-10-1976

How to Cite

[1]
J. MEDHI, “A Markov chain model for the occurrences of dry and wet days”, MAUSAM, vol. 27, no. 4, pp. 431–435, Oct. 1976.

Issue

Vol. 27 No. 4 (1976): MAUSAM

Section

Shorter Contribution

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