"Given the increasing threat of global warming, it is important to understand not only global weather patterns but also regional variations throughout countries. Functional Linear Mixed-effects Model (FLMM), an emerging statistical tool, provides a comprehensive framework for analyzing functional data (e.g., data viewed as a function or curve) with repeated observations, allowing researchers to identify patterns and relationships in the data. This study applies the functional linear mixed-effects model (FLMM) to recognize the effects of temporal and regional variations of short-time weather projection (monthly precipitation on daily temperature). We deployed FLMM using the daily temperature and monthly precipitation of nine weather stations(Dhaka, Chattogram (Patenga), Chattogram (Ambagan), Rajshahi, Khulna, Barisal, Sylhet, Rangpur and Mymensingh) of Bangladesh where each station shares the common population effects with their individual scalar covariate effects along with same slope functions. To estimate variance parameters and fixed-effects and random effects, the REML-based EM algorithm proposed by has been applied. Empirical results show significant differences in the effects of monthly precipitation on daily temperature among regions of Bangladesh. We anticipated that FLMM is an emerging model that can reveal the effects of monthly precipitation and the pace of daily temperature fluctuations over time."
Munniara Yesmin Munni is a statistician and Monitoring, Evaluation, and Learning (MEL) professional with a Master’s degree in Statistics from Jahangirnagar University, Bangladesh. She currently works with the Christian Commission for Development in Bangladesh (CCDB). Her research... Read More →
Munniara Yesmin Munni is a statistician and Monitoring, Evaluation, and Learning (MEL) professional with a Master’s degree in Statistics from Jahangirnagar University, Bangladesh. She currently works with the Christian Commission for Development in Bangladesh (CCDB). Her research... Read More →
Tuesday October 6, 2026 10:30 - 11:00 UTC Zoom Room #2
