moment
For a random variable X, the jth (population) moment about p is equal to E((X − p)j) (see expected value). The first moment about 0 is the mean. The second moment about the mean is the variance. The jth moment of X, without further specification, refers to the jth moment about 0.
Suppose that a sample is taken from a population with k unknown parameters. In the method of moments, the first k population moments are equated to the first k sample moments to find k equations in k unknowns. These can be solved to find the moment estimates of the parameters.
- unit
- unitary matrix
- unitary ratio
- unit circle
- unit cube
- unit matrix
- unit square
- unit vector
- unity
- univalent
- universal covering space
- universal gravitational constant
- universal machine
- universal quantifier
- universal set
- unknot
- unknown
- unstable equilibrium
- upper bound
- upper limit
- upper triangular matrix
- Urysohn's lemma
- utility
- utility function
- V