Moving-weighted-average smoothing extended to the extremities of the data. II. Methods

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Abstract
The use of a moving weighted average to smooth equally spaced observational data does not produce smoothed values for arguments too near the extremities of the data. This is a serious disadvantage of the method and may have discouraged its use to some extent. In the first paper of this series it was argued that there is a single preferred method of extending the graduation to the ends of the data set, and the theory of that method was developed. This paper focuses on the computational aspects: abbreviated procedures are described and tables are provided to facilitate the calculations. The preferred method is compared, numerically and otherwise, with other plausible methods of extending the graduation.

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