ESTIMATION OF PERIODICALLY VARYING MEANS AND STANDARD DEVIATIONS IN TIME SERIES DATA
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Publication:4746696
DOI10.1111/J.1467-9892.1981.TB00318.XzbMath0508.62079OpenAlexW2030327611MaRDI QIDQ4746696
Publication date: 1981
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9892.1981.tb00318.x
time seriescentral limit theoremseasonal variationGaussian maximum likelihood estimationestimation of periodically varying meansvarying standard deviations
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20)
Cites Work
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- The asymptotic distribution of serial covariances
- On periodic and multiple autoregressions
- An approach to modeling seasonally stationary time series
- A central limit theorem for parameter estimation in stationary vector time series and its application to models for a signal observed with noise
- Vector linear time series models
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