Recent content by Jrb599

that's what I thought; however, the relative mean difference doesn't have a mu in it, and it doesn't have a unbiased estimator either

Hi I was looking at how to calculate the GINI coefficient and saw two different statements from two websites. Statement 1: It has been shown that the sample Gini coefficients defined above need to be multiplied by in order to become unbiased estimators for the population coefficients...

Chiro - I realized the program I was using was still doing mean-centering. It's working now

Hi Chiro, Thanks for the response. Yeah I've taken the eigenvalues into account, and I still can't get it to work

I've been reading about principal components and residual matrixs. It's my understanding if you used every principal component to recalculate your orginal data, then the residual matrix should be 0. Therefore, I created a fake dataset of two random variables and calculated the principal...

PRoblem solved, will this thread be deleted?

Consider the case n=2 you get (a,a,b,b 1,2,3) which gives you 7 elements not 5, so 3n + 1 holds.

Consider the multiset {n*a, n*b, 1, 2 , 3,..., n+1} of size 3n + 1. Determine the number of its n-combinations. I'm stuck on this one, any help would great.

Shouldn't it be P(A \cap B') = P(A) * (1-P(B)) Assuming there independent

s(x+t)/s(x) For the Mu(x+t)*tPx you should get 1/(100-x)

Homework Statement If delta(t) = 0.2/(1+0.05*t) and s(x)= 1-(x/100) for 0<x<100, calclulate a. For a whole life insurance issued at age x, the actuarial present value and the variance of the present value of the benefits Homework Equations Present Value = Int(exp(-delta*t))...

k, well your original post helped me, so thank you!

what about f(1)=1 f(2)=1 f(n) = n-1 for n>2

what does {x} stand for?

[SOLVED] Onto, but not one-to-one I need a function f: N -> N such that f is onto, but not one-to-one, and I can't think of one to save my life, any suggestions?