Statistical Analysis with Generalized Linear Models
Introduction
Recent posts
Exploring Outliers in Data Analysis: Advanced Concepts and Techniques
Outliers are data points that significantly deviate from the rest of the observations in a dataset. They can arise from various sources such as measurement errors, data entry mistakes, or inherent variability in the data. While outliers can provide valuable insights, they can also distort statist...
The Sunrise Problem: A Bayesian vs Frequentist Perspective
Sunrise in Lisbon Harbour, December 2020
Impact of Electromagnetic Interference on RSSI Signal: Detailed Insights and Implications
Electromagnetic interference (EMI), also known as electrical magnetic distortion, is a phenomenon that can significantly impact the performance of wireless communication systems. One of the key metrics affected by EMI is the Received Signal Strength Indicator (RSSI), which measures the power leve...
Matthew’s Correlation Coefficient (MCC): A Detailed Explanation
Dive deep into Matthew’s Correlation Coefficient (MCC), a powerful metric for evaluating binary classification models, especially in imbalanced datasets.
Stepwise Regression: Methodology, Applications, and Concerns
Stepwise Regression
IoT and Data Science for Climate Action: Monitoring, Analysis, and Insights
IoT and data science together offer powerful tools for monitoring environmental conditions, analyzing climate data, and supporting global climate action initiatives.