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Predictive analysis for journal abstracts using polynomial neural networks algorithm
Published 2017-07Subjects: “…Mean square errors…”
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The Bayesian Approach to Estimation of Multi-Equation Econometric Models in the Presence of Multicollinearity
Published 2014Subjects: “…Mean squared error…”
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Effects of atypical observations on the estimation of seemingly unrelated regression model
Published 2017Subjects: “…Mean square error…”
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Frequentist and bayesian estimation of parameters of linear regression model with correlated explanatory variables
Published 2017Subjects: “…Mean square error…”
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A comparison of the predictive capabilities of artificial neural networks and regression models for knowledge discovery
Published 2013Subjects: “…Mean Square Error…”
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Ranking of simultaneous equation techniques to small sample properties and correlated random deviates
Published 2009Subjects: “…Root mean square error…”
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Ranking of simultaneous equation techniques to small sample properties and correlated random deviates
Published 2009Subjects: “…Root mean square error…”
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Robustness of simultaneous estimation methods to varying degrees of correlation between pairs of random deviates
Published 2010Subjects: “…Root Mean Square Error.…”
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Statistical properties of forward selection regression estimators
Published 2013Subjects: “…Mean-squared error…”
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Iterative decoding of space-time-frequency block coded mimo concatenated with LDPH codes
Published 2014Subjects: “…Minimum Mean Squared Error…”
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Cardiac Active Tension Modeling via Genetic Algorithm-Optimized Fractional Order Systems
Published 2024Subjects: “…Active tension; Cardiac viscoelasticity; Fractional-order systems; Quick stretch and release experiments; Caputo’s fractional derivatives; Mean Square Error (MSE)…”
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Optimisation of adaptive localisation techniques for cognitive radio
Published 2013Subjects: “…Root mean square error (RMSE)…”
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