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Data Analysis
Density Estimation
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(221)
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Density estimation for statistics and data analysis
Density estimation for statistics and data analysis,B. W. Silverman
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Density estimation for statistics and data analysis
(
Citations: 4997
)
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B. W. Silverman
Published in 1986.
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Citation Context
(2204)
...From the wide range of kernels existing, without losing generality, we consider a univariate Gaussian kernel since it offers some theoretical and practical advantages (Silverman
1981
,
1986
)...
Patricio A. Jaramillo
,
et al.
Multimodality and mixture distributions: an application to a Survey of...
...Then the authors use a reflection method (Schuster,
1985
; Silverman,
1986
) to correct the estimator of the probability density in the neighbourhood of the boundaries...
Hédi Essid
,
et al.
Small is not that beautiful after all: measuring the scale efficiency ...
...Generating variates from KDE offers the advantages (Devroye and Györfi,
1985
; Devroye,
1986
; Silverman,
1986
) of simplicity and wellestablished theory of density estimation...
W. Kaczynski
,
et al.
Bivariate Nonparametric Random Variate Generation Using a PiecewiseLi...
...
Silverman 1986
) rules of thumb for the bandwidth selection...
...The kernel and the bandwidth are parameters of the estimation algorithm to be selected by some optimality criterion, see Shao (1998), Section 5.1.3.,
Silverman (1986)
...
Rostyslav Maiboroda
,
et al.
Nonparametric density estimation for symmetric distributions by contam...
...It is wellknown that in the kernel estimate of a density n “bumps” placed at the observations are summed with equal weights 1/n (see, e.g.,
Silverman 1986, pp. 14
–15, Efromovich 1999, pp. 326–327)...
Antonio Punzo
,
et al.
Discrete approximations of continuous and mixed measures on a compact ...
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Citations
(4997)
Multimodality and mixture distributions: an application to a Survey of Economic Expectations
Patricio A. Jaramillo
,
Juan Carlos Piantini
Journal:
Applied Economics  APPL ECON
, vol. 45, no. 14, pp. 18011817, 2013
Small is not that beautiful after all: measuring the scale efficiency of Tunisian high schools using a DEAbootstrap method
Hédi Essid
,
Pierre Ouellette
,
Stéphane Vigeant
Journal:
Applied Economics  APPL ECON
, vol. 45, no. 9, pp. 11091120, 2013
Bivariate Nonparametric Random Variate Generation Using a PiecewiseLinear Cumulative Distribution Function
(
Citations: 2
)
W. Kaczynski
,
L. Leemis
,
N. Loehr
,
J. McQueston
Journal:
Communications in Statisticssimulation and Computation  COMMUN STATISTSIMULAT COMPUT
, vol. 41, no. 4, pp. 469496, 2012
Nonparametric density estimation for symmetric distributions by contaminated data
(
Citations: 2
)
Rostyslav Maiboroda
,
Olena Sugakova
Journal:
Metrika
, vol. 71, no. 2, pp. 118, 2012
Discrete approximations of continuous and mixed measures on a compact interval
(
Citations: 1
)
Antonio Punzo
,
Alessandro Zini
Journal:
Statistical Papers  STAT PAP
, pp. 113, 2012