search for: dcvdrfrh_3cm63hcfn

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2008 Aug 12
0
KS Test for Mixture of Distributions
...atistics[["D"]]) 0.80599 > print(ks$p.value) 0 The problem is that over many datasets the ks.test() always give Pvalue = 0 and very high "D" for testing multiple components. Morever the plot I have, the two components fits well to the data. http://docs.google.com/View?docid=dcvdrfrh_3cm63hcfn (Gamma is at the bottom). What's wrong with my approach above? And this is the pdf function of gamma I used. __BEGIN__ gamma_pdf <- function(x,lambda, alpha,beta, k){ temp<-NULL al = alpha[1:k] be = beta[1:k] for(j in 1:k){ # each being gamm...