One of the most comprehensive instruments to measure intergenerational mobility for an economic variable relies on the analysis of the corresponding transition matrix ({mathbb {P}}).
User-CF and Item-CF invoke the cosine similarity ((cos _mathrm{sim})) to measure the similarities among players or props, and we regularize the similarity by multiply the (cos _mathrm{sim}) by a variable relying on time, i.e., the similarities used for CF recommendation are defined as (frac{1}{1+|t_{ij}-t_0|}cos _mathrm{sim}).
As the figure indicates, a multidimensional variable, relying on the documented changes in human activity, can be used to automatically distinguish emergency situations from non-emergency induced anomalies.
These control measures are of capital importance in light of the growing body of evidence showing that the influence of one variable relies on the presence of another variable.
Further, the early biological risk variable relied upon parental reports.
The construction of the variable relied on the national pricing policy operated in leading United Kingdom supermarkets.
The variable relies on maternal self-report and therefore likely includes some misclassified exposures due to a healthy reporting bias (e.g., Derauf et al. 2003).
The primary variable of interest, the age of the mother at first birth, is subject to measurement error as data collection of this variable relies on recall by the respondent.
Other variables rely on the type of scaffold to use such as synthetic biodegradable polymers, fibrin or collagen-derived scaffolds of different sources, bovine, porcine, rat tail, etc, in the form of gels, sponges, mesh, etc, and all of these with or without growth factors.
Many studies of SOD and similar continuous variables rely on median splits.
