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Next, he tried to confirm that Graunt was correct about the probability of a boy’s birth being larger than 50%. He was building the foundation of the modern theory of testing statistical hypotheses.
Sharon Bertsch McGrayne • The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
Hypothesis Testing at Grockit
Eric Ries • The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses
statistical comparisons may be made strictly in terms of the interior variation in the data,
Stephen M. Stigler • The Seven Pillars of Statistical Wisdom
In building a mathematical model of scientific thinking, where a reasonable person could develop a hypothesis and then evaluate it relentlessly in light of new knowledge, he became the first modern Bayesian. His system was enormously sensitive to new information.
Sharon Bertsch McGrayne • The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
By rights, Bayes’ rule should be named for someone else: a Frenchman, Pierre Simon Laplace, one of the most powerful mathematicians and scientists in history. To deal with an unprecedented torrent of data, Laplace discovered the rule on his own in 1774.
Sharon Bertsch McGrayne • The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
Note that Professor Pearson was among the first scholars who were interested in creating artificial random data generators, tables one could use as inputs for various scientific and engineering simulations (the precursors of our Monte Carlo simulator). The problem is that they did not want these tables to exhibit any form of regularity. Yet real ra
... See moreNassim Nicholas Taleb • Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets (Incerto Book 1)
given a number of observations, you can actually gain information by throwing information away!
Stephen M. Stigler • The Seven Pillars of Statistical Wisdom
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
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