Interpolation is forecasting using existing data to predict future patterns and values. Being able to forecast helps every business leader make the right decisions when it comes to cutting costs, ...

Note that interpolating values of a time series does not add any real information to the data as the interpolation process is not the same process that generated the other (nonmissing) values in the ...

This is a preview. Log in through your library . Abstract Rain gauge data are routinely recorded and used around the world. However, their sparsity and inhomogeneity make them inadequate for climate ...

Interpolated values are computed only for embedded missing values in the input time series. Missing values before or after the range of a series are ignored by the EXPAND procedure. In the preceding ...

String interpolation is a technique that enables you to insert expression values into literal strings. It is also known as variable substitution, variable interpolation, or variable expansion. It is a ...