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Estimating variance in X-11 seasonal adjustment
Stuart Scott
,
Danny Pfeffermann
, Michail Sverchkov
Department of Statistics
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
2
Scopus citations
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Dive into the research topics of 'Estimating variance in X-11 seasonal adjustment'. Together they form a unique fingerprint.
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Keyphrases
Seasonal Adjustment
100%
X-11
100%
Sampling Error
66%
Bell
33%
Uncertainty Measure
33%
Unemployment
33%
Autoregressive Integrated Moving Average (ARIMA)
33%
Error Variance
33%
Non-stationary Time Series
33%
Autocovariance
33%
Variance Measure
33%
Mathematics
Pfeffermann
100%
Seasonal Adjustment
100%
Estimating Variance
100%
Sampling Error
40%
Variance
20%
Multiplicative
20%
Error Variance
20%
Typical Case
20%
Autocovariance
20%
Time Series
20%
Time Series Analysis
20%
ARMA Model
20%
Economics, Econometrics and Finance
Measure of Dispersion
100%
Time Series
33%
Unemployment
33%
ARMA Model
33%