A simple derivation of the spectral decomposition of the covariance matrix for a general multi-way variance components … model is presented. So-called balanced data are assumed to be available. Spectral decomposition is exploited to derive the …

advanced techniques such as wavelets and empirical mode decomposition. It first discusses some traditional tools in technical … empirical mode decomposition in financial time series. The book also discusses the theory to test the performance of the …</li><li>Empirical Mode Decomposition and Technical Analysis</li></ul></li><li><b><i>Other Indicators in Technical Analysis …

This paper critically assesses widely applied methods of Gini decomposition by income sources and population subgroups …. We point to common pitfalls in the interpretation of decomposition results and show that marginal efects provide the only …

-Blinder decomposition technique is then applied and allows us to explain the mean gap between these three countries in PISA 2009 reading …

equivalent terms. We develop a general welfare decomposition for heterogeneous agent models with transitional dynamics. Asset …

Benders decomposition. In this method, recently shown to be superior to the alternatives for large problems, the problem is …

dynamic problems, including the simplex and interior point methods and nested Benders decomposition - which decomposes the …