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On the Asymptotic Normality of the L1- and L2-Errors in His..:

Beirlant, Jan ; Györfi, László ; Lugosi, Gábor
The Canadian Journal of Statistics / La Revue Canadienne de Statistique. 22 (1994) 3 - p. 309-318 , 1994

Link: https://www.jstor.org/stable/3315594

RT Journal
T1 <Title>On the Asymptotic Normality of the L1- and L2-Errors in Histogram Density Estimation</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-3315594&Exemplar=1&LAN=DE
				
A1 Beirlant, Jan
A1 Györfi, László
A1 Lugosi, Gábor
PB Statistical Society of Canada
YR 1994
SN 0319-5724
K1 Nonparametric density estimation
K1 Central limit theorem
K1 Histogram estimate
K1 Physical sciences
K1 Physics
K1 Mechanics
K1 Density
K1 Density measurement
K1 Density estimation
K1 Mathematics
K1 Pure mathematics
K1 Discrete mathematics
K1 Graph theory
K1 Bar graphs
K1 Histograms
K1 Probability theory
K1 Random variables
K1 Applied mathematics
K1 Statistics
K1 Statistical theories
K1 Linear algebra
K1 Matrix theory
K1 Eigenfunctions
K1 Applied statistics
K1 Inferential statistics
K1 Statistical estimation
K1 Estimation methods
K1 Estimators
JF The Canadian Journal of Statistics / La Revue Canadienne de Statistique
VO 22
IS 3
SP 309
OP 318
LK http://dx.doi.org/https://www.jstor.org/stable/3315594
DO https://www.jstor.org/stable/3315594
SF ELIB - SuUB Bremen

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