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The year 1514 in science and technology included many events, some of which are listed here. Events. June 13 – Henry Grace à Dieu, at over 1,000 tons the ...
This category has the following 10 subcategories, out of 10 total. ... 1514 beginnings (2 C) 1514 endings (1 C) A. 1514 in the arts (3 C) M. 1514 in military history ...
Imagine a beam of particles being shot through a target, and consider an infinitesimally thin slab of the target (see the figure). [1] The atoms (or particles) that might stop a beam particle are shown in red. The magnitude of the mean free path depends on the characteristics of the system.
In the theory of probability for stochastic processes, the reflection principle for a Wiener process states that if the path of a Wiener process f(t) reaches a value f(s) = a at time t = s, then the subsequent path after time s has the same distribution as the reflection of the subsequent path about the value a. [1]
April 29 – After a month of negotiations at Linz between the Holy Roman Empire and the Kingdom of Denmark, representatives of the two nations sign an alliance agreement, to be secured by the marriage of the Emperor's 13-year-old daughter Isabella, to the new King of Denmark, Christian II, along with payment of a dowry to King Christian of ...
For example, a 10-year flood has a 1/10 = 0.1 or 10% chance of being exceeded in any one year and a 50-year flood has a 0.02 or 2% chance of being exceeded in any one year. This does not mean that a 100-year flood will happen regularly every 100 years, or only once in 100 years. Despite the connotations of the name "return period".
Maximal entropy random walk (MERW) is a popular type of biased random walk on a graph, in which transition probabilities are chosen accordingly to the principle of maximum entropy, which says that the probability distribution which best represents the current state of knowledge is the one with largest entropy.
Thus, the mean time between peaks, including the residence time or mean time before the very first peak, is the inverse of the frequency of exceedance N −1 (y max). If the number of peaks exceeding y max grows as a Poisson process, then the probability that at time t there has not yet been any peak exceeding y max is e −N(y max)t. [6] Its ...