Using of Eggenberger–Polya Distribution as an Alternative Model for Dry Spell Analysis in Northern Odisha, India

Tapan Kumar Malik

Department of Statistics, Bhadrak Autonomous College, Bhadrak 756100, India.

A. K. Mangaraj

Department of Statistics, Rajendra University, Balangir 767002, India.

L. N. Sahoo *

Utkal University, Bhubaneswar–751004, India.

*Author to whom correspondence should be addressed.


Abstract

In this paper, Eggenberger–Polya distribution has been preferred as an alternative to a 2-state Markov Chain model for characterizing persistence behaviour of dry spell for Northern Odisha, India during south-west monsoon season. An attempt has been made to compare performance of the two competing models with reference to their strength to fit the empirical distribution of dry spell length under two goodness-of-fit criteria.

Keywords: Chi-Squared test, dry spell, Eggenberger–Polya model, goodness-of-fit, Kolmogorov-Smirnov test, Markov Chain model


How to Cite

Malik, Tapan Kumar, A. K. Mangaraj, and L. N. Sahoo. 2023. “Using of Eggenberger–Polya Distribution As an Alternative Model for Dry Spell Analysis in Northern Odisha, India”. Asian Journal of Probability and Statistics 25 (2):29-36. https://doi.org/10.9734/ajpas/2023/v25i2550.

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