Multiple linear regression.

@inproceedings{Grgoire2014MultipleLR,
  title={Multiple linear regression.},
  author={G{\'e}rard Gr{\'e}goire},
  year={2014}
}
This chapter deals with the multiple linear regression. That is we investigate the situation where the mean of a variable depends linearly on a set of covariables. The noise is supposed to be gaussian. We develop the least squared method to get the parameter estimators and estimates of their precisions. This leads to design confidence intervals, prediction intervals, global tests, individual tests and more generally tests of submodels defined by linear constraints. Methods for model's… CONTINUE READING
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