bonds) and analyze their multi-scaling properties by estimating the parameters of a Markov-switching multifractal model (MSM … general, the Lognormal MSM models generate ?apparent? long memory in good agreement with empirical scaling provided one uses …

scaling of variables, hierarchical organization, handling rank-based variables, relief tables, survey simulation techniques …

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 …

for scaling up existing estimates of ecosystem service values to larger geographical scales. It also presents a case study …

is based on the assumption that national context matters. We argue that the chances for scaling local experiments between … the strengths and weaknesses of their climate policies. Second, we assess the scaling potential of local experiments, in … analyze actual scaling between the two German cities, which share the same national context. More generally, we explore how …

to measure price changes, which dependence is often referred to as the scaling law.Scaling factor, on the other hand … the scaling factor differs from the one in a simple random walk model and whether it has remained stable over time.It also … multiscaling in Finnish stock markets.Furthermore, the scaling factor and the long-memory parameters of the volatility series are …