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.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.