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       <dc:date>2026-05-19T10:29:57+00:00</dc:date>
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        <title>Contrast Matrix Formulation</title>
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        <description>Contrast Matrix Formulation

The constraints on the full model can be written as
$$\mathbf{L} 𝛃 = \mathbf{c} $$
Using Lagrange multiplier, we can get the estimate for null hypothesis $\widehat{𝛃}_0$ by minimizing
$$\mathcal{L}\equiv\left(\mathbf{y}-\mathbf{X}𝛃\right)^{T}\left(\mathbf{y}-\mathbf{X}𝛃\right)+\left(\mathbf{L}𝛃-\mathbf{c}\right)^{T}𝛌,$$
where $𝛌$ is a column vector of multipliers.
The minimization leads to
$$ -2\mathbf{X}^{T}\left(\mathbf{y}-\mathbf{X}𝛃_{0}\right)+\mathbf{L}^{T}𝛌_{0}…</description>
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