Formation matrix

In statistics and information theory, the expected formation matrix of a likelihood function $L(\theta )$ is the matrix inverse of the Fisher information matrix, while the observed formation matrix is the inverse of the observed information matrix a likelihood function

See also

• Cramér-Rao inequality

Other measures employed in information theory:

• Self-information
• Kullback-Leibler divergence
• Shannon entropy