Profitability Drivers of Zenith Bank Plc

This file presents an Extended Cost-Effectiveness Analysis (ECEA) of the Empower Health intervention compared to usual care in Kenya, following the methodology developed by Verguet et al. (2016). ECEA extends traditional cost-effectiveness analysis by incorporating: 1. Financial risk protection (catastrophic health expenditures and poverty averted) 2. Distributional consequences across wealth quintiles 3. Equity weights to value health gains among the poor Insurance value (risk premium reduction)

Indice sintetico di vulnerabilità alla volatilità del prezzo del petrolio (prezzo del petrolio / PIL in $ correnti) per economia italiana e mondiale.

ExamIDs2026a

ExamIDs2026a

Pipeline completo de detección de fraude financiero no supervisado sobre el dataset sintético PaySim1. A partir de 11 variables originales se construyen 49 variables derivadas mediante ingeniería de características, ampliando el espacio de representación a 60 columnas. Sobre este espacio se aplica limpieza estructural y ocho selectores de características comparativos, reteniéndose 8 variables finales con las que DBSCAN alcanza un Silhouette de 0.766 frente a 0.422 sin selección. El documento incluye fundamentos matemáticos del algoritmo, calibración de hiperparámetros, visualización t-SNE, métricas de validación y reglas operativas de accionabilidad aplicadas a datos nuevos.

This document serves as the introductory chapter for the Statistics for Data Science course at the graduate level. It focuses on the fundamental principles of Exploratory Data Analysis (EDA), shifting the focus from simple computation to critical statistical interpretation . Overview of Topics covered: - Measures of Central Tendency - Measures of Dispersion - Measures of Shape - Data Visualization - Multivariate Descriptive Statistics Applied Learning: This chapter includes comprehensive R Labs and Case Studies designed to simulate real-world data challenges . Students will learn to implement these statistical concepts using modern R programming techniques to derive actionable insights from raw data.