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2009 Feb 02
0
Fitting data to Pareto distribution
...would like to estimate the parameters with the fitting. I have come across some options so far. Unfortunately I haven't managed to get any of them to make the right fits (as is evident when I check with the goodness of fit). One such option is: library(VGAM) b1 <- read.table(file("FitPareto_Values.txt", encoding="latin1")) b2 <- as.vector(t((b1[2]))) fit = vglm(b2 ~ 1, pareto1, trace=TRUE) With this code, R returns a coefficient for the intercept in the Pareto distribution as (-1.434) and this doesn't make any practical sense for the scenario that I am trying to...