1/4 teaspoon ground thyme. 1 teaspoon salt. - Combine butter, garlic, onion and celery in a saucepan. - Braise over medium-low heat until tender but not brown. - Add the flour, and mix to make a roux. - Drain clams, reserving juice. - In a separate saucepan, combine clam juice, half-and-half, thyme and salt.
Loosely speaking, a residual is the error in a result. To be precise, suppose we want to find x such that =. Given an approximation x 0 of x, the residual is â whereas the error is â If the exact value of x is not known, the residual can be computed, whereas the error cannot. Residual of the approximation of a function Similar terminology is used dealing with differential, integral and functional equations. For the approximation of the solution of the equation
However, a terminological difference arises in the expression mean squared error (MSE). The mean squared error of a regression is a number computed from the sum of squares of the computed residuals, and not of the unobservable errors. If that sum of squares is divided by n, the number of observations, the result is the mean of the squared residuals.