1
Q
Give a parametric estimator for density.
A
2
Q
State the assumptions needed for asymptotic normality of the Kernel Estimator.
A
Slide 39, Non-Parametric Kernel.
3
Q
State the conditions needed for consistency and asymptotic normality of the Kernel Density estimator.
A
Slide 9 Non-Parametric Kernel.
4
Q
Derive the Mean and Variance of the Kernel Density Estimator.
A
Slides 13 to 17 Non-Parametric Kernel.
5
Q
Explain the Robinson Estimator.
A
Slides 48-49 Non-Parametric Kernel.
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