Search results
Results from the WOW.Com Content Network
In the case when the probability of loss is assumed to be a single number , and is the loss from the event occurring, the familiar form of the Hand formula is recovered. More generally, for continuous outcomes the Hand formula takes form: ∫ Ω L f ( L ) d L > B {\displaystyle \int _{\Omega }Lf(L)dL>B} where Ω {\displaystyle \Omega } is the ...
Bolt thrust or breech pressure is a term used in internal ballistics and firearms (whether small arms or artillery) that describes the amount of rearward force exerted by the propellant gases on the bolt or breech of a firearm action or breech when a projectile is fired.
Example: Consider a data value of €1,000,000, with an attack probability of 15% and an 80% chance of a successful breach. The potential loss is €1,000,000 × 0.15 × 0.8 = €120,000. Based on the Gordon-Loeb model, the company’s security investment should not exceed €120,000 × 0.37 = €44,000.
In mathematics, an event that occurs with high probability (often shortened to w.h.p. or WHP) is one whose probability depends on a certain number n and goes to 1 as n goes to infinity, i.e. the probability of the event occurring can be made as close to 1 as desired by making n big enough.
Boltzmann's distribution is an exponential distribution. Boltzmann factor (vertical axis) as a function of temperature T for several energy differences ε i − ε j.. In statistical mechanics and mathematics, a Boltzmann distribution (also called Gibbs distribution [1]) is a probability distribution or probability measure that gives the probability that a system will be in a certain ...
Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).
The salvo combat model calculates the number of ships lost on each side using the following pair of equations. Here, ΔA represents the change in the number of Red's ships from one salvo, while ΔB represents the change in the number of Blue ships. ΔA = -(βB - yA)u, subject to 0 ≤ -ΔA ≤ A ΔB = -(αA - zB)v, subject to 0 ≤ -ΔB ≤ B
The terms are that they win $100 if this does not happen (with probability 127/128) and lose $12,700 if it does (with probability 1/128). That is, the possible loss amounts are $0 or $12,700. The 1% VaR is then $0, because the probability of any loss at all is 1/128 which is less than 1%.