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 ...

Penalized least squares estimates provide a way to balance fitting the data closely and avoiding excessive roughness or rapid variation. A penalized least squares estimate is a surface that minimizes ...

It is sometimes desired to fit a second degree polynomial E(y∣ x) = α + β x + γ x 2 to a set of data so that its stationary point will fall in a given region. Methods are shown to calculate a, b, c, ...