Often the questions we ask require us to make accurate predictions on how one factor affects an outcome. If a teacher is asked to work out how time spent writing an essay affects essay grades, it’s ...

This is a preview. Log in through your library . Abstract The performance of Least Squares (LS) estimators is studied in shape-constrained regression models under Gaussian and sub-Gaussian noise.

The process of using past cost information to predict future costs is called cost estimation. While many methods are used for cost estimation, the least-squares regression method of cost estimation is ...

Say that a regression method is "unstable" at a data set if a small change in the data can cause a relatively large change in the fitted plane. A well-known example of this is the instability of least ...