The paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). Some analysis and comparisons are also made with data from the SciVerse Scopus database. The various RAM that are calculated annually or...

Statistical computing when input/output is driven by a Graphical User Interface is considered. A proposal is made for automatic control of computational flow to ensure that only strictly required computations are actually carried on. The computational flow is modeled by a directed graph for...

Disparate impact litigation is unique, in part because outcomes often depend on statistical analysis from expert witnesses who are research psychologists. Accordingly, it is surprising that psychologists serving the court as expert witnesses in disparate impact (DI) cases often take one of two...

Data analysis is an ever-evolving subject and is of utmost importance and priority for research as well as researcher. It encompasses inspection, coding, transformation, and modelling to draw scientific conclusions. In the recent past, data mining and use of quantitative techniques has been...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

We introduce a new two-dimensional measure for the heterogeneity of performance within groups of economic units. This measure accounts both, for the relative performance of the single units of groups and their relative size. We demonstrate that the new measure leads to a much more differentiated...

In the present study, we propose a standardization of indicators based on the Linear Scaling Technique (LST) that is called "interval LST". Traditional methods have certain limitations in terms of robustness, capability to analyze time series, loss of original variability for data and capability...

In this paper, we study the finite sample accuracy of confidence intervals for index functional built via parametric bootstrap, in the case of inequality indices. To estimate the parameters of the assumed parametric data generating distribution, we propose a Generalized Method of Moment...

We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed. Some empirical applications illustrate the main issues