Variables and Modelling Approach
Mixture Modelling Approach
... satisfaction variables observed at different time points. Life satisfaction is measured with error through the error variance terms. The continuous latent growth factor for the intercept is represented by the ...
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The evolutionary status of Cataclysmic Variables: Eclipse modelling of 15 systems
... Wood & Horne 1990; Thorstensen 2000; Steeghs et al. 2003; Southworth et al. 2009; Copperwheat et al. 2012). The ex- isting mass determinations have large associated errors, and we re-analyse them here in the light of new ...
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Resilience planning, afacilitated modelling approach
... The approach proposed in this paper offers a formal framework for engaging with stakeholders and reaching some degree of consensus about what resilience ...facilitated modelling smoothed the discussion ...
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Modelling Stand Variables of Beech Coppice Forest Using Spectral Sentinel 2A Data and the Machine Learning Approach
... productivity variables (basal area, stand diameter, wood volume, growing stock and others) and their spatial distributions, especially where different management regimes are ...
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Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables
... Most of the parameter estimates are similar to those found in a standard VAR, so we will focus our discussion on those which di¤er. Table 2 provides strong evidence of a large change in the steady state for in‡ation, ...
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Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables
... Most of the parameter estimates are similar to those found in a standard VAR, so we will focus our discussion on those which di¤er. Table 2 provides strong evidence of a large change in the steady state for in‡ation, ...
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First thoughts on the incorporation of cultural variables into predictive modelling
... deterministic approach, coupled to a very poor insight into the potential of using cultural variables in predictive ...predictive modelling context, and often have never been tested in a rigorous ...
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Essays on the econometric modelling and forecasting of shipping market variables
... attempted to investigate the characteristics of freight rate volatility. Cullinane (1992) provides a model of speculation by applying the Box-Jenkins approach; owing to data limitations it arrives at an ARIMA ...
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Visualising and modelling changes in categorical variables in longitudinal studies
... common approach of using absolute increases to assess model fit because they are more informative in terms of predictability for ...outcome variables over time, probability tree diagrams depicting ...
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Aggregated Index for Modelling the Influence of Financial Variables on Enterprise Performance
... Default Approach According to the Localization Criteria – Emerging Versus Developed Countries? Case study on IT Commercial Companies, Proceedings of 4 th International Conference of ASECU “Development Cooperation ...
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One-dimensional modelling of a vascular network in space-time variables
... the approach of Womersley[9] (1957) who linearised the two-dimensional equations for flow in straight, circular elastic tubes and obtained the wave solution by Fourier ...
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The evolutionary status of Cataclysmic Variables: Eclipse modelling of 15 systems
... In general, the majority of eclipses showing a clear bright- spot ingress feature were selected for modelling. However, for systems with many high-signal-to-noise eclipses containing very clear bright-spot eclipse ...
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Modelling the impacts of macro-economic variables on the South African biofuels industry
... Finally, a few critical questions need to be raised when debating the establishment of a biofuels industry in South Africa. No country in the world uses a staple to produce biofuels. Therefore, policy alternatives have ...
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Modelling the statistical dependence of rainfall event variables through copula functions
... random variables which are supposed to be indepen- dent of each ...copula approach can overcome this limitation, by divid- ing the problem in two distinct ...
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Modelling the impact of macroeconomic variables on aggregate corporate insolvency: case of Croatia
... microeconomic approach, it is not possible to completely capture the complexity of business ...macroeconomic variables in forecasting insolvencies. As the macroeconomic approach has been applied ...
15
Sparse Kernel Modelling: A Unified Approach
... SVM 243.2 ± 5.3 6.7986 ± 0.4444 23.1750 ± 9.0459 4 Empirical Data Modelling Results Boston Housing Data Set. This was a regression benchmark data set, avail- able at the UCI repository [19]. The data set comprised ...
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A Compositional approach for modelling SDG7 indicators
... In this case, the compositional character of the variables is totally omitted. According with Van den Boogaart and Tolosana-Delgado (2013) most multivariate methods developed for data with real value give ...
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A new approach to urban environmental modelling
... and identifying suitable measures to reduce energy consumption on a large scale. (Firth 2010) highlights the potential of constructing simpler models with only a set of limited input parameters and associated sensitivity ...
113
Copula-based spatial modelling of geometallurgical variables
... of modelling a geological variable, such as metal grade, is the spatial ...spatially modelling such a variable should be capable of accurately estimating the true spatial ...other variables at ...
8
Independent Mixed-gamma Variables for Modelling Rainfall
... models. Modelling rainfall is not limited to fit the historical data to a suitable distribution but the model should be able to generate synthetic rainfall ...mixed-gamma variables, ...mixed-gamma ...
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