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The Birnbaum–Saunders distribution, also known as the fatigue life distribution, is a probability distribution used extensively in reliability applications to model failure times. The chi distribution. The noncentral chi distribution; The chi-squared distribution, which is the sum of the squares of n independent Gaussian random variables.
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment. [1] [2] It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). [3]
Download as PDF; Printable version; In other projects ... Pages in category "Types of probability distributions" ... Degenerate distribution; Directional statistics;
Download as PDF; Printable version; In other projects ... In probability theory and statistics, the Rayleigh distribution is a continuous probability distribution for ...
In decision theory, if all alternative distributions available to a decision-maker are in the same location–scale family, and the first two moments are finite, then a two-moment decision model can apply, and decision-making can be framed in terms of the means and the variances of the distributions.
Johnson distributions are also sometimes used in option pricing, so as to accommodate an observed volatility smile; see Johnson binomial tree. An alternative to the Johnson system of distributions is the quantile-parameterized distributions (QPDs). QPDs can provide greater shape flexibility than the Johnson system.
In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the ...
L-moments are statistical quantities that are derived from probability weighted moments [11] (PWM) which were defined earlier (1979). [7] PWM are used to efficiently estimate the parameters of distributions expressable in inverse form such as the Gumbel, [8] the Tukey lambda, and the Wakeby distributions.