Implementasi Multinomial Logistic Regression (MLR) untuk klasifikasi tingkat obesitas berdasarkan faktor demografis dan gaya hidup, dengan evaluasi menggunakan akurasi dan confusion matrix.

This project examines how subway access is distributed across NYC census tracts and how it relates to median household income using spatial data and mapping in R.

Economic Hardship in Arizona A Community Analytics Dashboard — PAF 516 Final Project

Detailed use of Bootstrapped MLEs and CI in comparison to Chi Distribution counterparts, Likelihood Ratio Test, and Wald CI, through the Kumaraswamy two parameter distribution. There are additional investigations with the bootstrapped and Wald results to special case the Kumaraswamy distributions, power distribution and uniform distribution.

Analysis of DDT metabolite toxicity across freshwater fish species using EPA ECOTOX data. Includes data cleaning, summarisation and visualisation in R.

In this project, Monte Carlo simulation is utilized to estimate iced tea demand under uncertain conditions. By simulating multiple scenarios, this analysis provides a comprehensive view of potential demand outcomes and demonstrates how probabilistic methods can enhance forecasting accuracy.

Versión Dos 20262

Final Project for GEOG588

El presente estudio realiza un análisis estadístico descriptivo de una base de datos relacionada con la salud mental de estudiantes universitarios. Se examinan variables como edad, sexo, rendimiento académico (CGPA), horas de estudio, duración del sueño, uso de redes sociales y actividad física.