estimate density function based on masked data density_Rmask(moments, a, b, n = 512) \itemmoments moments information \itema lower boundary \itemb upper boundary \itemn scale on x-axis no details needed a vector
no reference Mark and Yan-Xia no further notes
##—- Should be DIRECTLY executable !! —- ##– ==> Define data, use random, ##– or do help(data=index) for the standard data sets.
y<-rnorm(100, 0,1) val <- 1 for(k in 1:8) val<- c(val, mean(y^k)) a<- -2 b<- 2 Provost<- density_Rmask(val, a,b)
~kwd1 ~kwd2
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