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Peter Stoner (June 16, 1888 – March 21, 1980) [1] [2] was a Christian writer and Chairman of the departments of mathematics and astronomy at Pasadena City College until 1953; Chairman of the science division, Westmont College, 1953–57; Professor Emeritus of Science, Westmont College; and Professor Emeritus of Mathematics and Astronomy, Pasadena City College.
Consequently, to understand whether a strategy operates cognitively or randomly, we need only calculate the probability of obtaining an equal or better outcome at random. In the case of the St. Petersburg paradox, the doubling strategy was compared with a constant bet strategy that was completely random but equivalent in terms of the total ...
Jonathan Bernis noted that the mathematician Peter Stoner counted the probability of a single man fulfilling just 48 of the Old Testament prophesies that specifically point to our Lord would be ...
Peter Stoner (1888–1980): co-founder of the American Scientific Affiliation who wrote Science Speaks. [171] [172] Gerty Cori (1896–1957): Czech-American biochemist who became the third woman—and first American woman—to win a Nobel Prize in science, and the first woman to be awarded the Nobel Prize in Physiology or Medicine.
The problem of points, also called the problem of division of the stakes, is a classical problem in probability theory.One of the famous problems that motivated the beginnings of modern probability theory in the 17th century, it led Blaise Pascal to the first explicit reasoning about what today is known as an expected value.
Chandrasekhar limit, the mass upper limit of a white dwarf, was first derived by Wilhelm Anderson and E. C. Stoner, and later improved by Subrahmanyan Chandrasekhar. Chebyshev's inequality guarantees that, for a wide class of probability distributions, no more than a certain fraction of values can be more than a certain distance from the mean.
Uncertainty is traditionally modelled by a probability distribution, as developed by Kolmogorov, [1] Laplace, de Finetti, [2] Ramsey, Cox, Lindley, and many others.However, this has not been unanimously accepted by scientists, statisticians, and probabilists: it has been argued that some modification or broadening of probability theory is required, because one may not always be able to provide ...
In mathematics, the second moment method is a technique used in probability theory and analysis to show that a random variable has positive probability of being positive. More generally, the "moment method" consists of bounding the probability that a random variable fluctuates far from its mean, by using its moments.