DOE OSTI · 1895025
Entropy and its Relationship with Statistics
Abstract
The purpose of our report is to discuss the notion of entropy and its relationship with statistics. Our goal is to provide a manner in which you can think about entropy, its central role within information theory and relationship with statistics. We review various relationships between information theory and statistics—nearly all are well-known but unfortunately are often not recognized. Entropy quantities the "average amount of surprise" in a random variable and lies at the heart of information theory, which studies the transmission, processing, extraction, and utilization of information. For us, data is information. What is the distinction between information theory and statistics? Information theorists work with probability distributions. Instead, statisticians work with samples. In so many words, information theory using samples is the practice of statistics.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Lehoucq, Richard B., Mayer, Carolyn D., Tucker, James D.. 2022-09-01. Entropy and its Relationship with Statistics. https://doi.org/10.2172/1895025
Cite the original work for its findings. Save a collection to share your selection of sources.