Small electronic storage-devices, also known as Smart Labels or RFID-Tags, that emit the information they hold via radio signals, are intended to be mounted on or integrated in products to serve as means of product identification. These RFID-Tags shall store a product’s Electronic Product...

In the present article we propose the generalised lambda distribution as a model for income data. The quantile measures of location, dispersion, skewness, and kurtosis of the distribution are matched against the corresponding measures derived from the sample to estimate the parameters of the...

For decades, financial institutions have been very motivated in creating structured high-yield financial products, especially in the economic environment of lower interest rates. Reverse convertible notes (RCNs) are the type of financial instruments, which in recent years first in Europe and...

Purpose – This editorial, the second of a two-part series, proposes a new measure of risk for analyzing highly non-normal (i.e. asymmetric and long-tailed) random variables in the context of both investment and insurance portfolios. The proposed measure replaces the p-norm-based definition of...

This paper tries to reconcile growth and geographical economics by dealing directly with capital accumulation through time and space and by seeing growth convergence and spatial agglomeration as jointly generated by dynamic processes displaying pattern formation. It presents a centralized...

In linear specifications, the bias due to the presence of measurement error in a regressor can be entirely avoided when either repeated measurements or instruments are available for the mismeasured regressor. The situation is more complex in nonlinear settings. While identification and root n...

Today, the data related to business, finance and healthcare pose problems for Privacy-Preserving Data Mining (PPDM). Privacy regulations and concerns prevent data owners from sharing data for mining purposes. To circumvent this problem, data owners must design strategies to meet privacy...

Today, the data related to business, finance and healthcare pose problems for Privacy-Preserving Data Mining (PPDM). Privacy regulations and concerns prevent data owners from sharing data for mining purposes. To circumvent this problem, data owners must design strategies to meet privacy...

This paper discusses methods of statistical inference for inequality measures, in particular the nonparametric bootstrap. Standard resampling techniques and a new method for nonparametric resampling under the null hypothesis are discussed. Monte-Carlo simulations show that some bootstrap methods...