exercises for Thu Feb 3 _亚博娱乐官网_亚博pt手机客户端登录

nils
2022-01-28T15:51:05.943Z
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www.uio.no

1. On Thu Jan 27, in a somewhat dark Aud. 4 due to the fire in the herretoalettomr?de three days earlier, we went through these exercises: 1.4, 1.6, 1.20; proving formula (1.35), with implications for the case of \rho(h) = \rho^j; initial regression modelling attempts for the JJ dataset.

2. We then discussed central concepts and methods from Ch 1, with emphasis on the covariance function \gamma(h) and correlation function \rho(h), and their empirical counterparts, the important acf(xdata) algorith. In particular, theory was given to explain what happens with the acf in the case of i.i.d. data.

3. I'm placing my R script com1d on the website, with regression things for the JJ dataset. Run its different parts, make sure you understand what they accomplish, and play with variations.

4. For Thu Feb 3, first try out a couple of more regression models for the JJ dataset, perhaps taking my com1d as point of departure. Include a cyclic term for the...