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Cited by 986

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Optimal Properties of Exponentially Weighted Forecasts

Muth, John F.·1960·Journal of the American Statistical Association

Abstract

The exponentially weighted average can be interpreted as the expected value of a time series made up of two kinds of random components: one lasting a single time period (transitory) and the other lasting through all subsequent periods (permanent). Such a time series may, therefore, be regarded as a random walk with “noise” superimposed. It is also shown that, for this series, the best forecast for the time period immediately ahead is the best forecast for any future time period, because both give estimates of the permanent component. The estimate of the permanent component is imperfect, and so the estimate of a regression coefficient is inconsistent in a relation involving the permanent (e.g. consumption as a function of permanent income). Its bias is small, however.

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Metadata

Authors
Muth, J. F.
Venue
Journal of the American Statistical Association
Published
1960-06
Volume
55
Issue
290
Pages
299-306
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2025347948
Cited by
986
References
11
FWCI
3.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Optimal Properties of Exponentially Weighted Forecasts. https://app.cochat.ai/papers/10.1080/01621459.1960.10482064
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Muth, J. F. (1960). Optimal Properties of Exponentially Weighted Forecasts. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1960.10482064

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.