Program Studi Statistika UGM

Midterm project for group: Nat Martinov, Wesley Gibbs, Matthew Cavanaugh. Life satisfaction.

This bite-sized adventure turns open elevation data into a spin-able, zoom-able 3D model of the Grand Canyon.

Caso de estudio - Doctorado Ciclo III

This project presents a comprehensive time series analysis of monthly measles cases reported in Jere Local Government Area, Borno State, Nigeria, from 2016 to 2022. The analysis involves data preprocessing, visualization, stationarity testing using the Augmented Dickey–Fuller (ADF) test, and model identification through ACF and PACF plots. An ARIMA model was fitted to the transformed (square-rooted) series to forecast measles incidence for future periods. The results include decomposition of the series into trend, seasonal, and random components, along with forecast plots and confidence intervals (80% and 95%). The study offers valuable insights into the temporal patterns of measles transmission, supporting evidence-based public health planning for disease control and prevention in the region.