Fitting the Probability Distribution of Monthly Maximum Temperature of Some Selected Stations from the Northern Part of Bangladesh
The weather of Bangladesh is varying as well as it is becoming more unpredictable in every year. However, the impacts of extreme temperatures, more fluctuated rainfall, sea level rise and other weather events have already occurred in Bangladesh and will continue to upsurge. So, this paper attempts to identify the most suitable probability distribution of the monthly maximum temperature of some selected stations from the northern part of Bangladesh. The Goodness-of-fit tests and the graphical comparison shows that the Generalized Skewed Logistic (GSL) provided the best fit for the observed monthly maximum temperatures for all the stations considered in this study.
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