Search Archives

I got a distribution function and a empirical distribution function. How do I make to Kolmogorov-Smirnov test in R. Lets call the empirical distribution function >Fn on [0,1] and the distribution function >F on [0,1] ks.test...

Hi, I have fittet a gamma model, and is wondering if I can read the shape and the scale direct from the summary Estimate Std. Error t value Pr(>|t|) (Intercept) 1.612e+00 4.735e-02 34.052 <2e...

To glm is glm(log(mydata)~log(max_data)*as.factor(grp),family=Gamma(link="log")) And I was wondering if you can read the scale and shape from summary There a quite a few "gamma models" around, so you...

Hi I got a dataset loss max.loss grp 1 10 50 2 2 15 33 1 3 18 49 2 4 33 38 1 5 8 50 3 6 19 29 1 7 22 51 4 8 50 50...

Thanks for the answer David Sum er the "sum insured" the maximal loss of the company. Claims, is the actually claim size. Group is wich type of business is insured. Can you help me to solve the problem? It is...

I have to fit a generalized linear model in R, and I have never done this before, so I'm in very much doubt. I have a dataset (of 4036 observations) claims sum grp 1 3852 34570293 1 2 1194...

Hi, I try to ask here, because I hope someone will help me understand this problem- I have fittet a glm in R with the results > glm1 <- > glm(log(claims)~log(sum)*as.factor(grp),family=gaussian(link="identity")) > summary...

Actually both max.loss and loss are known values (in dollars). I'm very much doubt, what to choose. glm(max.loss~loss,family=gaussian(link="identity") or glm(formula = sum ~ claims * as.factor(grp), family = gaussian(link = "identity")) or...

How can I from the summary function, decide which glm (fit1, fit2 or fit3) fits to data best? I don't know what to look after, so I would please explain the important output. > fit1 <- glm(Y~X, family=gaussian...