IAI Actuarial Core Principles · Actuarial Statistics · Estimators and their properties
A sample of size n is drawn from a Uniform(0, θ) distribution. The estimator T = max(X1,...,Xn) has E[T] = nθ/(n+1). For n = 9, which multiple of T is an unbiased estimator of θ?
The estimator (10/9)T is unbiased. Since E[T] = 9θ/10 when n = 9, multiplying by the reciprocal 10/9 gives expectation θ. Multiplying by 9/10 or 1.1 leaves a bias, and adding θ/10 uses the unknown parameter.
- A0.9 T
- B1.1 T
- C(10/9) TCorrect
- D(9/10) T
- T + θ/10
Explanation
E[T] = 9θ/10 for n = 9. To get an unbiased estimator we multiply by 10/9, giving E = θ. The factor 9/10 (or 0.9) would give 0.81θ, which is biased. The factor 1.1 gives 0.99θ, also biased. T + θ/10 depends on the unknown θ and so is not an estimator.
Did you get it right without looking?
One question tells you little. A timed set on Estimators and their properties shows your real accuracy, how long you take and where you lose marks.
More Estimators and their properties questions
- Claim amounts are exponential with mean θ. From a sample of n claims, the estimator θ̂ = X̄ is used. For what smallest sample size n is the …
- A random sample X1, X2, ..., X10 is taken from a distribution with mean μ and variance σ². Which of the following estimators of μ is unbiase…
- Claim sizes (in ₹ thousand) are modelled as exponential with density f(x) = (1/θ)e^(-x/θ). A sample of 4 claims is 2, 5, 8 and 9. Using the …
- X1,...,Xn is a random sample from a uniform distribution on (0, θ). Let M = max(Xi). Which statement is correct?
- X1,...,Xn are independent Uniform(0, θ) variables. Which statement is correct?
- X1,...,Xn are iid with mean μ and variance σ² (both finite). Which estimator of μ is NOT consistent?