You observe the number of goals scored by a team you follow in n football matches {41, ..., yn}. The rate of scoring is
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You observe the number of goals scored by a team you follow in n football matches {41, ..., yn}. The rate of scoring is
You observe the number of goals scored by a team you follow in n football matches {41, ..., yn}. The rate of scoring is related to the strength 0 of the team as eº. Assuming each game is independent, the data can be assumed to follow a Poisson distribution i.e.: yid Poisson (eº). (a) Derive the log-likelihood as a function of 0. (b) Derive the score as a function of O. (c) Derive the observed Fisher Information as a function of e. (d) Show that the expected Fisher Information is [3] [3] [3] E[(O)] = ne 5 = [3] (e) Derive the Maximum Likelihood Estimator of O. [5] (f) Calculate an approximate 95% confidence interval for O, if n = 10 and y = 150.4. [3] (g) Describe in detail how would you calculate a Bootstrapped 95% confidence interval for the strength of your team? [5]
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