In the late 1800s, Francis Galton coined “regression to the mean” when he noticed tall parents had children who were shorter, moving toward average heights. omehow the term regression bled over to cover statistical methods for analyzing relationships between dep and indep vars.
"Networks, Crowds, and Markets: Reasoning about a Highly Connected World" by Easley and Easley.
A "Big Ideas" book two top researchers in their fields. Very long, a bit hit-or-miss, but very useful and interesting in parts.
pdf and hard copy in reply.
5 years ago I got this and I really enjoyed reading this curious book, My Search for Ramanujan: How I Learned to Count by Ken Ono and Amir D. Aczel. It blends a personal journey of self-discovery with a deep admiration for the mathematical genius of Srinivasa Ramanujan. Prof. Ken Ono shares his struggles with expectations, finding his identity, and his eventual passion for advancing Ramanujan’s legacy. The book offers insightful glimpses into Ramanujan’s contributions, while remaining accessible to non-mathematicians. It's a captivating read that combines personal growth with the thrill of mathematical discovery.
Parent/child height data shows a regression to the mean.
I’ve heard that intelligence works the same way. Even if both you and your spouse are intelligence outliers, there’s a good chance your children won’t be.
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Need some motivation on a math problem? Listen to The 2024 Abel Prize laureate Michel Talagrand's advice to the younger generation of mathematicians on our YouTube channel!
https://t.co/U3SNSyzc3S
Reflecting on the legacy of André Cholesky, whose pioneering contributions to mathematics were cut short by his untimely death during WWI. His work lives on, through the famous Cholesky Decomposition and numerous other contributions #Mathematics#Legacy#AndréCholesky📚
Assume you jump metro barriers in Paris every day, there are 303 stations, with 10 being controlled at any time. If you travel through 20 stations daily, after how many days will you have a 99% chance of being controlled at least once?
@Y4ss12 Thank you for your detailed response. Real is quite different indeed from the example, as you rightly pointed out. Indeed it's a hypergeometric that can be approximated by a binomial. I solved for n using the probability density formula of the geometric distribution.