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length(h22))) for ( k in 1 : length(h11)){ for, p.length ,
nrow=2,ncol=2,byrow=T) } } ###################################################################### ###################################################################### CV1=function(x1,x2,V1r,V2r,Hrp,w) {b1<-1 ngr<-length(V1r) U<-array, length(Hrp[2, p.22 ,
length(V1))) for ( r in 1 : length(h11)){ for (i in 1 :length(V1)) # boucle en i pour chaque point x[i] {for (j in 1 :length(V1)) # boucle en j pour chaque observation V, pp.1-11 ,
^2) U[r] <-F #vecteur de tous ISE selon les simulations } return(U) } ################################################# ################################################### y1<-y h1<, F<, issue.1 ,
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Bias corrections for some asymmetric kernel estimators, Journal of Statistical Planning and Inference, vol.159, pp.37-63, 2015. ,
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Méthode Non-Paramétrique par Noyaux Associés Mixtes et Applications, French) to Université de Franche-Comté, 2013. ,
V<-rgamma(100,1.5,2.6) ##The bandwidth can be the one obtained by cross validation. h<-0.052 ## We choose Gamma kernel. est<-dke.fun(V,h ,
Beta kernels estimators for density functions, Computational Statistics and Data Analysis, vol.31, pp.131-145, 1999. ,
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Méthode Non-Paramétrique par Noyaux Associés Mixtes et Applications, French) to Université de Franche-Comté, 2013. ,
Bias corrections for some asymmetric kernel estimators, Journal of Statistical Planning and Inference, vol.159, pp.37-63, 2015. ,
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Beta kernel estimators for density functions, Computational Statistics & Data Analysis, vol.31, issue.2, pp.131-145, 1999. ,
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Méthode Non-Paramétrique par Noyaux Associés Mixtes et Applications, French) to Université de Franche-Comté, 2013. ,
Bias corrections for some asymmetric kernel estimators, Journal of Statistical Planning and Inference, vol.159, pp.37-63, 2015. ,
DOI : 10.1016/j.jspi.2014.11.003
Beta kernels estimators for density functions, Computational Statistics and Data Analysis, vol.31, pp.131-145, 1999. ,
Probability Density Function Estimation Using Gamma Kernels, Annals of the Institute of Statistical Mathematics, vol.52, issue.3, pp.471-480, 2000. ,
DOI : 10.1023/A:1004165218295
Bias corrections for some asymmetric kernel estimators, Journal of Statistical Planning and Inference, vol.159, pp.37-63, 2015. ,
DOI : 10.1016/j.jspi.2014.11.003
Discrete associated kernels method and extensions, Statistical Methodology, vol.8, issue.6, pp.497-516, 2011. ,
DOI : 10.1016/j.stamet.2011.07.002
URL : https://hal.archives-ouvertes.fr/hal-00949369
Discrete triangular distributions and non-parametric estimation for probability mass function, Journal of Nonparametric Statistics, vol.71, issue.6-8, pp.241-254, 2007. ,
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URL : https://hal.archives-ouvertes.fr/hal-00947709
Méthode Non-Paramétrique par Noyaux Associés Mixtes et Applications, French) to Université de Franche-Comté, 2013. ,
Discrete associated kernels method and extensions, Annexe : Codes sources, pp.497-516, 2011. ,
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URL : https://hal.archives-ouvertes.fr/hal-00949369
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DOI : 10.1214/aos/1176350258
URL : https://hal.archives-ouvertes.fr/hal-00947709
Binomial kernel and Bayes local bandwidth in discrete function estimation, Journal of Nonparametric Statistics, vol.5, issue.3, pp.783-795, 2012. ,
DOI : 10.1016/j.spl.2009.12.008
Discrete associated kernel method and extensions, Statistical Methodology, vol.8, pp.497-516, 2011. ,
Discrete triangular distributions and non-parametric estimation for probability mass function, Journal of Nonparametric Statistics, vol.71, issue.6-8, pp.241-254, 2007. ,
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URL : https://hal.archives-ouvertes.fr/hal-00947709
Binomial kernel and Bayes local bandwidth in discrete function estimation, Journal of Nonparametric Statistics, vol.5, issue.3, pp.783-795, 2012. ,
DOI : 10.1016/j.spl.2009.12.008
Discrete associated kernel method and extensions, Statistical Methodology, vol.8, pp.497-516, 2011. ,
Discrete triangular distributions and non-parametric estimation for probability mass function, Journal of Nonparametric Statistics, vol.71, issue.6-8, pp.241-254, 2007. ,
DOI : 10.1214/aos/1176350258
URL : https://hal.archives-ouvertes.fr/hal-00947709
Binomial kernel and Bayes local bandwidth in discrete function estimation, Journal of Nonparametric Statistics, vol.5, issue.3, pp.783-795, 2012. ,
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