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  2. Reflection principle (Wiener process) - Wikipedia

    en.wikipedia.org/wiki/Reflection_principle...

    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]

  3. The Drunkard's Walk - Wikipedia

    en.wikipedia.org/wiki/The_Drunkard's_Walk

    The Drunkard's Walk discusses the role of randomness in everyday events, and the cognitive biases that lead people to misinterpret random events and stochastic processes. The title refers to a certain type of random walk, a mathematical process in which one or more variables change value under a series of random steps.

  4. Principle of maximum caliber - Wikipedia

    en.wikipedia.org/wiki/Principle_of_maximum_caliber

    The principle of maximum caliber (MaxCal) or maximum path entropy principle, suggested by E. T. Jaynes, [1] can be considered as a generalization of the principle of maximum entropy. It postulates that the most unbiased probability distribution of paths is the one that maximizes their Shannon entropy. This entropy of paths is sometimes called ...

  5. Orders of magnitude (probability) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude...

    105: 1.4×105: Probability of being dealt a straight flush (other than a royal flush) in poker 1.6×105: Risk that the asteroid 2013 TV135 which is 450 meters wide [14] will impact earth in 2032 [15] 3.2×105: Gaussian distribution: probability of a value being more than 4 standard deviations from the mean on a specific side [16 ...

  6. Rule of succession - Wikipedia

    en.wikipedia.org/wiki/Rule_of_succession

    In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre-Simon Laplace in the course of treating the sunrise problem. [1] The formula is still used, particularly to estimate underlying probabilities when there are few observations or events that have not been observed to occur at all in (finite) sample data.

  7. Frequency of exceedance - Wikipedia

    en.wikipedia.org/wiki/Frequency_of_exceedance

    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 ...

  8. Trump’s historic comeback leads to staggering 1,514% ... - AOL

    www.aol.com/trump-historic-comeback-leads...

    Since the president-elect’s comeback victory became official on Wednesday, the number of related Google searches jumped 1,514% percent, according to VisaGuide.World. Donald Trump won the ...

  9. Palermo scale - Wikipedia

    en.wikipedia.org/wiki/Palermo_scale

    The 1.10 value indicated that a collision with this object was considered to be almost 12.6 [19] times as likely as a random background event: 1 in 37 [20] instead of 1 in 472. With further observations, the risk of impact during later close approaches was completely eliminated [ 21 ] and Apophis was removed from the Sentry Risk Table in ...