![]() |
|
|
#1
|
|||
|
|||
|
The problem is about using Additive Model, Least Squares Method. Fox solution uses a formula based approach. With so many formulae in part9 syllabus already, I'm trying to rely on first principles to solve this problem (rather than memorizing formulae), but for some reason I'm getting a wrong answer below. Can anyone please elaborate what is wrong with my approach:
si: row relativity hj: column relativity Initial values: s1 = 130, s2=50 Total losses= 62,500 157,500 30,000 90,000 41,250 112,500 Total Indicated Pure Premium= 125(200+s1+h1) 350(200+s1+h2) 75(200+s1+h3) 300(200+s2+h1) 150(200+s2+h2) 450(200+s2+h3) SSE= (125s1 + 125h1-37,500)^2 + (350s1 + 350h2 - 87,500)^2 + (75s1 + 75h3 - 15,000)^2 + (300s2 + 300h1 - 30,000)^2 + (150s2 + 150h2 - 11,250)^2 + (450s2 + 450h3 - 22,500)^2 Partial derivative of SSE w.r.t h1 gives: 2(125s1 + 125h1 - 37,500)(125) + 2(300s2 + 300h1 - 30,000)(300) = 0 Putting initial values of s1 and s2 in above equation, we get: h1= 67.7514 However, fox's formula based solution comes up with h1=85.294 Can someone please explain what am I missing here? Thank you so much for your time. |
|
#3
|
|||
|
|||
|
Thanks CtrlAltDelete!
The way I'm getting 37,500 is: 125*200: from Total Indicated Pure Premium MINUS 62,500: from Total losses Can you please elaborate how did you get 75,000? Thanks, |
|
#4
|
|||
|
|||
|
I am confused by this question too.
But I figured out a way to get the answer if you take the lost cost and reduce the base rate to get a (300 250 200 100 75 50) with (x1+y1 X1+y2 X1+y3 X2+y1 x2+y2 X2+y3) sse=125*(x1+y1-300)^2+350*(x1+y2-250)^2+..... then you will get the same answer... |
|
#5
|
|||
|
|||
|
thanks Jing! for taking time & answering...
|
![]() |
| Thread Tools | |
| Display Modes | |
|
|