An object of class "kdeAlgo" that represents the estimated
statistical indicators and the estimated standard errors.
Objects of this class have methods for the generic functions
print
and plot
.
An object of class "kdeAlgo" is a list containing at least the following components.
Point_estimate
the estimated statistical indicators: Mean, Gini, Head-Count Ratio, Quantiles (10%, 25%, 50%, 75%, 90%), Poverty-Gap, Quintile-Share Ratio and if specified the selected custom indicators.
Standard_Error
if bootstrap.se = TRUE
,
the standard errors for the statistical indicator are estimated
Mestimates
kde object containing the corrected density estimate,
as in dclass
resultDensity
estimated density for each iteration,
as in dclass
resultX
true latent values X estimates,
as in dclass
xclass
classified values; factor with ordered factor values,
as in dclass
gridx
grid on which density is evaluated,
as in dclass
classes
classes; Inf as last value is allowed,
as in dclass
burnin
burn-in sample size,
as in dclass
samples
sampling iteration size,
as in dclass
Point_estimates.run
the estimated statistical indicators: Mean, Gini, Head-Count Ratio, Quantiles (10%, 25%, 50%, 75%, 90%), Poverty-Gap, Quintile-Share Ratio and if specified the selected custom indicators for each iteration run of the KDE-algorithm
oecd
the weights used for the estimation of the equivalised household income
weights
any kind of survey or design weights that will be used for the weighted estimation of the statistical indicators
upper
if the upper bound of the upper interval is Inf
e.g.
(15000,Inf)
, then Inf
is replaced by 15000*upper
Walter, P. (2019). A Selection of Statistical Methods for Interval-Censored
Data with Applications to the German Microcensus, PhD thesis,
Freie Universitaet Berlin
Groß, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017).
Estimating the density of ethnic minorities and aged people in Berlin: Multivariate
Kernel Density Estimation applied to sensitive georeferenced administrative data
protected via measurement error. Journal of the Royal Statistical Society: Series A
(Statistics in Society), 180.
smicd
, dclass