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Problems that are built on the knight's move in chess 1967 Nov: A mixed bag of logical and illogical problems to solve 1967 Dec: Game theory is applied (for a change) to games 1968 Jan: The beauties of the square, as expounded by Dr. Matrix to rehabilitate the hippie 1968 Feb: Combinatorial problems involving tree graphs and forests of trees ...
To solve such a problem, we first compute the probability that the needle crosses no lines, and then we take its complement. We compute this first probability by determining the volume of the domain where the needle crosses no lines and then divide that by the volume of all possibilities, V. We can easily see that V = πab.
A more general case of this concerns the distribution of the product of a random variable having a beta distribution with a random variable having a gamma distribution: for some cases where the parameters of the two component distributions are related in a certain way, the result is again a gamma distribution but with a changed shape parameter ...
Random article; About Wikipedia; Contact us; ... Download as PDF; Printable version; ... Help. Pages in category "Probability problems" The following 31 pages are in ...
In the context of parameter estimation, the likelihood function is usually assumed to obey certain conditions, known as regularity conditions. These conditions are assumed in various proofs involving likelihood functions, and need to be verified in each particular application. For maximum likelihood estimation, the existence of a global maximum ...
there is a notion of conjugation of random variables, satisfying (XY) * = Y * X * and X ** = X for all random variables X,Y and coinciding with complex conjugation if X is a constant. This means that random variables form complex commutative *-algebras. If X = X * then the random variable X is called "real".
Probability theory or probability calculus is the branch of mathematics concerned with probability.Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of axioms.
The simplest example of the concentration of such a secondary random variable is the CDF of the first random variable which concentrates the probability to unity. If an analytic form of the CDF is available this provides a concentration equality that provides the exact probability of concentration. It is precisely when the CDF is difficult to ...