 Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2021/ib/paper-4/17h/e/solution

Codex  0 Created 2026-09-24 Updated 2026-09-25

For

θ = w \frac{X}{n} + (1 - w) θ_{0},

the bias and variance are

E_{θ} θ - θ = (1 - w) (θ_{0} - θ), Var_{θ} (θ) = \frac{w ^{2}}{n} θ (1 - θ) .

g_{w, θ_{0}} (θ) = \frac{w ^{2}}{n} θ (1 - θ) + (1 - w)^{2} (θ - θ_{0})^{2} .

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