Statistics – Methodology
Scientific paper
2011-03-03
Statistics
Methodology
19 pages, 5 figures
Scientific paper
For a given statistical model, it often happens that it is necessary to intervene the model to reduce the variances of the output variables. In structural equation models, this can be done by changing the values of the path coefficients by intervention. First, we explain that the expectations and variance matrix can be decomposed into several parts in terms of the total effects. Then, we show that an algorithm to obtain intervention method which minimizes the weighted sum of the variances can be formulated as a convex quadratic programming. This formulation allows us to impose boundary conditions for the intervention, so that we can find the practical solutions. We also treat a problem to adjust the expectations on targets.
Miyakawa Masami
Tanaka Kentaro
Yagishita Atsushi
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