La regresión de Poisson es un modelo lineal generalizado (GLM) diseñado para analizar variables de conteo bajo el supuesto de equidispersión (media igual a varianza). En este proyecto se explica su fundamento matemático y se aplica al conjunto de datos “Salud Ecológica”, conjunto de datos diseñado para la clasificación de la salud ecológica en entornos urbanos.

This is the final code of weighting DRC data

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This document introduces the ARIMA (AutoRegressive Integrated Moving Average) model, one of the most practical and widely used tools for business forecasting. ARIMA models capture both the autocorrelation (how current values depend on past ones) and the trends in a time series, making them ideal for short- to medium-term projections of economic or business indicators. The objective is to show how ARIMA models can help organizations anticipate changes, support strategic planning, and make informed decisions based on data-driven forecasts.

Tópicos Avanzados de la Maestría en Bioestadística.

This document introduces the SARIMA (Seasonal ARIMA) approach to forecasting, a practical extension of ARIMA models widely used in business and economics. SARIMA models are designed to handle repeated seasonal patterns in data, such as quarterly demand cycles, monthly sales peaks, or yearly production slowdowns. In this example, we apply the method to forecast Mexico’s GDP growth, illustrating the same steps used in business settings: exploring the data, identifying trend and seasonality, selecting model parameters automatically, validating residuals, and producing four-quarter-ahead forecasts with confidence ranges

Actividad lúdica con motivo de los 50 años de la carrera de Planeación Territorial