search for: lognormaldistribution

...a2,densfun=dweibull,start=list(scale=2 ,shape=1 )) scale shape 1.378874e+04 8.788857e-01 (3.842224e+03) (1.312395e-01) > fitdistr(data2,densfun=dweibull,start=list(scale=6 ,shape=2 )) scale shape 7.81875000 0.12500000 (4.18668905) (0.01803669) #if i use the lognormaldistribution instead, i would get the same estimates, #no matter, what starting values i choose. #or if i tried it so fare with mle(), i got different values depending on the #starting values too, i use the trial and error method to find appropriate #starting values, but i am sure, there is a clear way how...