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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 <Title>A Nonparametric Method for Benchmarking Survey Data via Signal Extraction</Title>

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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