Exercises for Mon 8 Feb

On 1 February I went through the most important aspects of Ch 2, including log-likelihood, maximum likelihood, profiled log-likelihood, deviance, with the central results concerning (a) the ML estimator itself and (b) the Wilks theorem for the deviance. I also discussed pivots piv(\psi,\data) and their role in constructing CDs. Time was also used to go through various aspects of Nils Exercises 1 and 2. 

For Mon 8 February, prepare all of Nils Exercise 3, along with Exercises 2.2, 2.3 from the CLP. I will also start on Ch 3.

Within a day or two I'll place R scripts on the course site, for handling details of Nils Exercises 2 and 3.