search for: ycf1

I would like to fit a Pareto Distribution and I am using the following codes. I thought the fitted (fit1) should be the fitted value for the data, is it correct? As the result of the "fitted" turns out to be a single value for all. fit=vglm(ycf1 ~ 1, pareto1(location=alpha), trace=TRUE, crit="c") fitted(fit) The result is fitted(fit) [,1] [1,] 0.07752694 [2,] 0.07752694 [3,] 0.07752694 [4,] 0.07752694 [5,] 0.07752694 [6,] 0.07752694 [7,] 0.07752694 [8,] 0.07752694 [9,] 0.07752694 [10,] 0.07752694 [11,] 0....

I would like to fit a Pareto Distribution and I am using the following codes fit=vglm(ycf1 ~ 1, pareto1(location=alpha), trace=TRUE, crit="c") fitted(fit) But the fitted values turn out to be the same for each observation. I guess the problem is with "ycf1 ~ 1", I would be grateful if anyone can give me some advice on how to define the formula. Many thanks -- View...

I would like to fit a Pareto Distribution and I am using the following codes. First, I thought the fitted (fit1) should be the fitted value for the data, is it correct? As the result of the "fitted" turns out to be the same value. fit=vglm(ycf1 ~ 1, pareto1(location=alpha), trace=TRUE, crit="c") coef(fit, matrix=TRUE) summary(fit) fitted(fit) Secondly, how can I plot the density for the fitted distribution? Many thanks. -- View this message in context: http://www.nabble.com/Pareto-Distribution-tf3908751.html#a11082669 Sent fr...