1, and 2. Suppose that we have 3000 observations from a exponential distribution with parameter 1 = we are going to appl

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1 And 2 Suppose That We Have 3000 Observations From A Exponential Distribution With Parameter 1 We Are Going To Appl 1 (72.32 KiB) Viewed 28 times

1, and 2. Suppose that we have 3000 observations from a exponential distribution with parameter 1 = we are going to apply our kernel density estimator to this data with a rectangular kernel. 2h -h sdsh Kn(d) 0 otherwise = (a) Calculate the variance of this estimator at x = 1 when the bandwidth is h = 0.2. (b) Calculate the bias of this estimator at x = 2 when the h 1.2. (c) If instead, we used a Gaussian kernel where h= the standard deviation, show that the bias would be 1 Bias(f(t)) - set - Domo (2-3) son du – 1 euh