Original practice · fully worked
Original variant: density of a reported odds score
A device generates a raw calibration value U uniformly from 0 to 1. It reports the odds, U divided by one minus U, as score Y. Determine the density of Y for positive y.
- A
y/(1+y) - B
1/(1+y)² - C
1/(1+y) - D
exp(-y) - E
1/y² for y>1
Answer and calculation
The increasing odds transformation has inverse y divided by one plus y. This is also the transformed CDF, whose derivative is the inverse square of one plus y, choice B.
Setup
Setup
Solve the increasing reporting transformation for the raw value.
y=1−uu u=1+yy Model
Model
Translate a reported-score event through the inverse mapping and use the uniform CDF.
FY(y)=Pr(1−UU≤y) FY(y)=Pr(U≤1+yy)=1+yy,y>0 Compute
Compute
Differentiate the transformed CDF.
fY(y)=dyd(1+yy)=(1+y)21 Answer
Answer
The odds score has an inverse-square density on the positive half-line.
fY(y)=(1+y)21, y>0(B)