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Nonlinear MA model/Evidence
Method evidence record

Nonlinear MA model

The Nonlinear Moving Average (NMA) model extends the classical linear MA model by allowing the current observation to depend on past innovations through a nonlinear function rather than a simple weighted sum. It is used in time series analysis when error shocks transmit to outcomes in an asymmetric or state-dependent fashion.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Nonlinear Moving Average Model
Taxonomic method record · regression-model / econometrics
  • Granger, C. W. J., & Andersen, A. P. (1978). An Introduction to Bilinear Time Series Models. Vandenhoeck and Ruprecht, Gottingen. · URL
  • Tong, H. (1990). Non-Linear Time Series: A Dynamical System Approach. Oxford University Press. · ISBN 978-0198522300
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Related methods

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Taxonomic bucketARMA modelmachine-suggested · Relational suggestion, not evidence.Same method familyGARCH Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNonlinear AR Modelmachine-suggested · Relational suggestion, not evidence.Same method familySTAR Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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