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Bootstrapping locally stationary processes:

Kreiss, Jens-Peter ; Paparoditis, Efstathios
Journal of the Royal Statistical Society. Series B (Statistical Methodology). 77 (2015) 1 - p. 267-290 , 2015

Link: http://www.jstor.org/stable/24774734

RT Journal
T1 <Title>Bootstrapping locally stationary processes</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-24774734&Exemplar=1&LAN=DE
				
A1 Kreiss, Jens-Peter
A1 Paparoditis, Efstathios
PB John Wiley & Sons Ltd
YR 2015
SN 1369-7412
SN 1467-9868
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Inferential statistics
K1 Statistical estimation
K1 Estimation methods
K1 Estimators
K1 Pure mathematics
K1 Probability theory
K1 Stationary processes
K1 Physical sciences
K1 Astronomy
K1 Astrophysics
K1 Stellar physics
K1 Stellar properties
K1 Spectral energy distribution
K1 Information science
K1 Data products
K1 Datasets
K1 Time series
K1 Mathematical expressions
K1 Mathematical functions
K1 Mathematical transformations
K1 Integral transformations
K1 Fourier transformations
K1 Physics
K1 Mechanics
K1 Density
K1 Density measurement
K1 Density estimation
K1 Descriptive statistics
K1 Statistical sampling
K1 Sampling methods
K1 Bootstrap resampling
K1 Random variables
K1 Stochastic processes
K1 Measures of variability
K1 Statistical variance
JF Journal of the Royal Statistical Society. Series B (Statistical Methodology)
VO 77
IS 1
SP 267
OP 290
LK http://www.jstor.org/stable/24774734
DO http://www.jstor.org/stable/24774734
SF ELIB - SuUB Bremen

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