• We are pleased to announce that the winner of our Feedback Prize Draw for the Winter 2024-25 session and winning £150 of gift vouchers is Zhao Liang Tay. Congratulations to Zhao Liang. If you fancy winning £150 worth of gift vouchers (from a major UK store) for the Summer 2025 exam sitting for just a few minutes of your time throughout the session, please see our website at https://www.acted.co.uk/further-info.html?pat=feedback#feedback-prize for more information on how you can make sure your name is included in the draw at the end of the session.
  • Please be advised that the SP1, SP5 and SP7 X1 deadline is the 14th July and not the 17th June as first stated. Please accept out apologies for any confusion caused.

ch 9 - shape of tehe hazard function

V

Viki2010

Member
for gompertz and makeham model - ch 9 says the shape of the hazard is exponential, but

aprl 2012 paper, answer 4, says that the gompertz model has a monotonically increasing or decreasing hazard rate....


I am very confused :(
 
Monotonically increasing just means that the slope of the curve is always upwards (mono-, one direction). If you differentiate the Makeham or Gompertz formulas, you'll see they are always greater than zero, so this is always true.
 
Monotonically increasing just means that the slope of the curve is always upwards (mono-, one direction). If you differentiate the Makeham or Gompertz formulas, you'll see they are always greater than zero, so this is always true.

ok, but I would rather write exponential on the exam, as this is what the core reading is saying in several sections of the core reading....
 
The problem is they are not the same thing - an exponential function is not guaranteed to be monotonic or increasing (consider e^-x^2, for example). A generalised G-M model would cope perfectly well with the data given.

So the problem is not that the Gompertz model is exponential, it is that it can't reflect the data accurately, because the observed hazard rate is decreasing.
 
The problem is they are not the same thing - an exponential function is not guaranteed to be monotonic or increasing (consider e^-x^2, for example). A generalised G-M model would cope perfectly well with the data given.

So the problem is not that the Gompertz model is exponential, it is that it can't reflect the data accurately, because the observed hazard rate is decreasing.

Calum, which exams are you going to sit in Sept/Oct?
 
I'm studying for CT7 & 8, though having just started I'm wondering how succesful it's going to be!
 
Back
Top