fractal power laws and scaling will be explained. The main part focuses on the estimation of the tail index as a scaling …

Guttman (1947) developed a scaling method in which the items measuring an attribute can be ordered according to the … strength of the attribute. The Guttman scaling model assumes that every member of the population belongs to a scale type and … contingency tables, pi-star can be applied to latent class models, including scaling models for dichotomous data. This study …

processes, this study developed theoretical constructs for scaling and amalgamation of the different performance measures, and … for analyzing the different kinds of trade-offs. The scaling of performance measures yields a consistent or dimensionless … alternative methods for scaling and amalgamation. Also, recognizing that project outcomes are not always known with certainty, the …

ENGLISH ABSTRACT: Econophysics is a relatively new branch of physics. It entails the use of models in physics applied … market volatility forecasting method from econophysics, namely the Boltzmann/market temperature method. As …

Impulsivity and inconsistency in intertemporal choice have been attracting attention in econophysics and neuroeconomics … choice. Recent studies using Tsallis’ statistics-based econophysics have found a discount function (i.e. q …

Econophysics has already made a number of important empirical contributions to our understanding of the social and … amount of reasonably well-defined data. More recently, Econophysics has also begun to tackle other areas of economics where …