Hello! In this project, I simulate 1000 extreme rainfall data points and fit several probability distributions (Gamma, Weibull, Lognormal, GEV) to the data. Using visualizations and goodness-of-fit tests, I explore which distribution best represents extreme rainfall behavior. This helps in understanding rainfall risk and making better decisions in climate and disaster planning.

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Ditha Meliala-ADW W13 5003221123

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dashboardtest

Simulasi sederhana data klaim asuransi untuk mengeksplorasi model GLM, distribusi Poisson, estimasi bootstrap, serta teknik penyeimbangan data. Analisis lanjutan dilakukan dengan ANOVA dan ANCOVA untuk menggali hubungan antar variabel.