Linear model: Difference between revisions

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I mean… _now_ finished with the conversion to 'math' throughout
Linear regression models: epsilon → varepsilon
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:*the derivatives of the function are linear functions of the <math>\beta_j</math> making it easy to find the minimising values;
:*the minimising values <math>\beta_j</math> are linear functions of the observations <math>Y_i</math>;
:*the minimising values <math>\beta_j</math> are linear functions of the random errors <math>\epsilon_ivarepsilon_i</math> which makes it relatively easy to determine the statistical properties of the estimated values of <math>\beta_j</math>.
 
==Time series models==