Recognising the pattern of pest infestation helps greatly to understand the changes in the population dynamics due to several biological, environmental and climatological factors. As data are count in nature, suitable choice of distribution as well as linear or non-linear growth models are obvious to capture the variability present the population. If data are not properly fitted, integrity of scientific inference will be at stake. Hence, in the present study, an attempt has been made to fit appropriate discrete distributions along with the usual linear and non-linear modular approach. Among all the fitted discrete distributions, binomial distribution fits the best, having the minimum Kolmogorov-Smirnov test statistic value and based on different model selection criteria, exponential model is found to be the best fit.

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