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1 Ergebnisse
1
A Nonparametric Method for Benchmarking Survey Data via Sig..:
Chen, Zhao-Guo
;
Cholette, Pierre A.
;
Dagum, Estela Bee
Journal of the American Statistical Association. 92 (1997) 440 - p. 1563-1571 , 1997
Link:
https://www.jstor.org/stable/2965427
RT Journal T1
A Nonparametric Method for Benchmarking Survey Data via Signal Extraction
UL https://suche.suub.uni-bremen.de/peid=jstor-2965427&Exemplar=1&LAN=DE A1 Chen, Zhao-Guo A1 Cholette, Pierre A. A1 Dagum, Estela Bee PB American Statistical Association YR 1997 SN 0162-1459 K1 Autocovariance K1 Difference stationary K1 Spectral density K1 Trend stationary K1 Window estimation K1 Business K1 Business information K1 Business forecasting K1 Benchmarking K1 Mathematics K1 Applied mathematics K1 Statistics K1 Applied statistics K1 Inferential statistics K1 Statistical estimation K1 Estimation methods K1 Applied sciences K1 Research methods K1 Modeling K1 Descriptive statistics K1 Central tendencies K1 Averaging methods K1 Autoregressive moving average K1 Information science K1 Data products K1 Datasets K1 Time series K1 Statistical models K1 Parametric models K1 Time series models K1 Nonparametric statistics K1 Nonparametric methods K1 Physical sciences K1 Astronomy K1 Astrophysics K1 Stellar physics K1 Stellar properties K1 Spectral energy distribution K1 Pure mathematics K1 Linear algebra K1 Matrix theory K1 Matrices K1 Covariance matrices JF Journal of the American Statistical Association VO 92 IS 440 SP 1563 OP 1571 LK http://dx.doi.org/https://www.jstor.org/stable/2965427 DO https://www.jstor.org/stable/2965427 SF ELIB - SuUB Bremen
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