Original practice · fully worked
Original variant: minimize a blended estimate's variance
Two unbiased estimates X and Y target the same calibration constant. Their variances are 9 and 4, and their covariance is 1. For W_a=aX+(1-a)Y, determine the real value of a that minimizes Var(W_a).
- A
0 - B
7/24 - C
3/11 - D
4/13 - E
1/3
Answer and calculation
Expanding the weighted-sum variance gives 11a²-6a+4. Its derivative vanishes at a=3/11, and the positive quadratic coefficient makes this the minimum, choice C.
Setup
Setup
Apply the variance formula to the weighted combination.
Var(Wa)=a2Var(X)+(1−a)2Var(Y)+2a(1−a)Cov(X,Y) Model
Model
Substitute the three supplied second-moment quantities and collect powers of a.
Var(Wa)=9a2+4(1−a)2+2a(1−a) Var(Wa)=11a2−6a+4 Compute
Compute
Differentiate the convex quadratic and solve its first-order condition.
dadVar(Wa)=22a−6=0 a=113 Answer
Answer
The minimum-variance weight on X is 3/11.
113(C)