probability function
71Stability (probability) — In probability theory and statistics, the stability of a family of probability distributions is an important property which basically states that if one has a number of random variates that are in the family , any linear combination of these… …
72Indicator function — The graph of the indicator function of a two dimensional subset of a square. In mathematics, an indicator function or a characteristic function is a function defined on a set X that indicates membership of an element in a subset A of …
73Normalizable wave function — In quantum mechanics, wave functions which describe real particles must be normalizable: the probability of the particle to occupy any place must equal 1. [1] Mathematically, in one dimension this is expressed as: Or identically: where the… …
74Normalisable wave function — In quantum mechanics, wave functions which describe real particles must be normalisablefn|1: the probability of the particle to occupy any place must equal 1. Mathematically, in one dimension this is expressed as :int {A}^{B} psi^*(x)psi(x)… …
75Conditional probability distribution — Given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value. If the conditional distribution of Y given X is a… …
76Compound probability distribution — In probability theory, a compound probability distribution is the probability distribution that results from assuming that a random variable is distributed according to some parametrized distribution F with an unknown parameter θ that is… …
77Cantor function — In mathematics, the Cantor function, named after Georg Cantor, is an example of a function that is continuous, but not absolutely continuous. DefinitionThe Cantor function c : [0,1] → [0,1] is defined as follows:#Express x in base 3. If possible …
78Loss function — In statistics and decision theory a loss function is a function that maps an event onto a real number intuitively representing some cost associated with the event. Typically it is used for parameter estimation, and the event in question is some… …
79Copula (probability theory) — In probability theory and statistics, a copula can be used to describe the dependence between random variables. Copulas derive their name from linguistics. The cumulative distribution function of a random vector can be written in terms of… …
80Correlation function — For other uses, see Correlation function (disambiguation). A correlation function is the correlation between random variables at two different points in space or time, usually as a function of the spatial or temporal distance between the points.… …
