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rise to lower and upper bounds for the core payoff vectors and, using these bounds, we define the weighted super core as a … polyhedron that contains the core. It turns out that the least square values can be seen as a center of this weighted super core …, giving a third new characterization of the least square values. Finally, these lower and upper bounds for the core inspire us …
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The Two-Stage Least squares method for obtaining the estimated structural coefficients of a simultaneous linear equations model is a celebrated method that uses OLS at the first stage for estimating the reduced form coefficients and obtaining the expected values in the arrays of current...
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Proofs for the consistency of the kernel density estimator have historically developed. Four important milestones are the pointwise consistency, the almost sure uniform convergence, the rate of convergence on a bounded interval and the rate of convergence on R. The underlying concepts of total...
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