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A non-parametric iterative smoothing method for benchmarking and temporal distribution

Author

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  • Quenneville, B.
  • Fortier, S.
  • Gagné, C.

Abstract

This article considers the problem of benchmarking and temporal distribution and presents a non-parametric method based on iterative smoothing using the Henderson moving averages. The properties of the method are discussed and two examples are provided to illustrate the application.

Suggested Citation

  • Quenneville, B. & Fortier, S. & Gagné, C., 2009. "A non-parametric iterative smoothing method for benchmarking and temporal distribution," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3386-3396, July.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:9:p:3386-3396
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    Cited by:

    1. Tommaso Fonzo & Marco Marini, 2015. "Reconciliation of systems of time series according to a growth rates preservation principle," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 651-669, November.

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