Linked from

The 10 pages that link to Gaussian distribution, each with the reason it gives.

• Carl Friedrich GaussBroader topic: Its central role in statistics reflects Gauss’s analysis of measurement errors.

• Least squaresRelated: Independent Gaussian measurement errors make least squares a maximum-likelihood estimator.

• Characteristic functionBroader topic: Its characteristic function has a simple exponential form used in limit calculations.

• Signal detection theoryRelated: Classic formulations represent signal and noise evidence with Gaussian distributions.

• Kalman filterRelated: The standard filter summarizes uncertainty with Gaussian state distributions.

• Gaussian integralRelated: The integral determines the constant that makes its density integrate to one.

• White noiseRelated: Gaussian white noise uses this distribution for its instantaneous amplitudes.

• Multivariate normal distributionRelated: The multivariate normal is the vector-valued form of this broader distribution family.

• Cramér's decomposition theoremRelated: The theorem identifies Gaussian summands from a Gaussian sum.

• Diffusion and random walksRelated: It describes displacements in Brownian motion and many diffusion solutions.