Latent Class Analysis: Unveiling Hidden Patterns in Data
Introduction
Recent posts
Effects of a Human Body on RSSI: Challenges and Mitigations
Explore the impact of human presence on RSSI and the challenges it introduces, along with effective mitigation strategies in wireless communication systems.
How the Human Body Affects RSSI: Detailed Analysis and Practical Approaches
Absorption and Reflection
Latent Variables: Explained and Its History
Introduction
Statistical Analysis with Generalized Linear Models
Introduction
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.