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Showing 1 to 4 of 4 for “"Cross-moments"”.

  1. Moment-linear stochastic systems and their applications

    … systems (MLSS), which are structured so that moments and cross-moments of the state variables can be computed efficiently, using linear recursions. We show that MLSS provide a common framework for representing and characterizing several models that are common in the literature, such as …

    mit Repository record for Moment-linear stochastic systems and their applications (opens in a new tab)

  2. Nonlinear uncertainty analysis for multiple criteria natural resource decision support systems

    … to variations in model parameters and the cross moments of the parameter vector. The equation is complemented by developing an applied approach that aims to identify model nonlinearities, isolate response discontinuities, and simplify the computational efforts associated with analytical …

    arizona-thes Repository record for Nonlinear uncertainty analysis for multiple criteria natural resource decision support systems (opens in a new tab)

  3. Investigating the Structures of Turbulence in a Multi-stream, Rectangular, Supersonic Jet

    … statistical approaches. First- and second-order moments are used to describe the steady-state behavior of the flow. The wide array of sensors used in the tests allows for cross-moments to be computed, which provide evidence linking different phenomena. Proper orthogonal decomposition (POD) is …

    syracuse-diss Repository record for Investigating the Structures of Turbulence in a Multi-stream, Rectangular, Supersonic Jet (opens in a new tab)

  4. Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis with Applications in Genomics

    … as well as their marginal and mixed moments, in the context of the Linear Discriminant Analysis (LDA) classification rule. In the first part of this dissertation, we obtain the joint sampling distribution of the actual and estimated errors under a general parametric Gaussian …

    tdl Repository record for Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis with Applications in Genomics (opens in a new tab)