Concept

Least-squares — where it appears

The fitting method that chooses model parameters to minimise the sum of squared residuals between data and model. With independent Gaussian errors it gives the most probable parameters, and its covariance matrix says how the errors combine.

Named by 3 essays across 2 fields — each of them below, with the objects they name alongside it.

Named alongside it

The objects these essays reach for when they reach for this one.

Clock biasCoverageDilution of precisionElevation maskGeometry matrixSatellite navigationAstrometryEccentricityEpochError propagationFrozen orbitGround tracks

All concepts