Search Results for ""
11 - 20 of 1483 for Extreme Value DistributionSearch Results
The probability that a variate would assume a value greater than or equal to the observed value strictly by chance: P(z>=z_(observed)).
The distribution of a variable is a description of the relative numbers of times each possible outcome will occur in a number of trials. The function describing the ...
The present value v_n of a single payment made at n periods in the future is v_n=p/((1+r)^n), (1) where n is the number of periods until payment, p is the payment amount, and ...
The distribution function D(x), also called the cumulative distribution function (CDF) or cumulative frequency function, describes the probability that a variate X takes on a ...
The principal value of an analytic multivalued function is the single value chosen by convention to be returned for a given argument. Complex multivalued functions have ...
The Bernoulli distribution is a discrete distribution having two possible outcomes labelled by n=0 and n=1 in which n=1 ("success") occurs with probability p and n=0 ...
The value at a stationary point.
The expectation value of a function f(x) in a variable x is denoted <f(x)> or E{f(x)}. For a single discrete variable, it is defined by <f(x)>=sum_(x)f(x)P(x), (1) where P(x) ...
The absolute value of a real number x is denoted |x| and defined as the "unsigned" portion of x, |x| = xsgn(x) (1) = {-x for x<=0; x for x>=0, (2) where sgn(x) is the sign ...
The value nearest to but still inside an inner fence.
...
View search results from all Wolfram sites (41438 matches)

