The Journal of Developing Areas, Vol. 44, No. 1 (Fall 2010), pp. 345-365 (21 pages) This paper uses annual data for the period 1970-2006 in order to estimate and investigate the evolution of the ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...

Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...

This project explores the intersection of advanced calculus and macroeconomic theory. We model economic indicators such as inflation, GDP, and money supply growth using differential equations and ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

This is a preview. Log in through your library . Abstract The main purpose of this study was to examine the relationships among gratitude, social support, coping style, and well-being. In total, 750 ...