Ž . The ability of the VLF-R Resistivity method to provide quantitative subsurface resistivity information is examined. The Ž . frequencies used in conventional VLF 15 to 30 kHz provide the deepest penetrations of the multi-frequency, extended method of RadioMT. Both methods are considered. VLF data, being effectively single frequency, are insufficient to resolve Ž . Ž . one-dimensional 1D vert...

Quantitative tools have been widely adopted in order to extract the massive information from a variety of financial data. Mathematics, statistics and computers algorithms have never been so important to financial practitioners in history. Investment banks develop equilibrium models to evaluate financial instruments; mutual funds applied time series to identify the risks in their portfolio; and ...

Computational chemistry and quantitative structureactivity relationships (QSAR) are foreseen to be extensively used in the implementation of the new REACH regulation for chemicals in Europe. However, for some compound groups the data are too few in number to permit both calibration and testing of a new model. Usage and previously developed or updated models are then viable alternatives. Perfluo...

The CDK framework provides a wide variety of cheminformatics functionality. Consequently a large variety of applications can be developed using this framework. One important application is the data mining of chemical information which requires a combination of cheminformatics and statistical tools. This article focusses on interfacing the CDK framework with the R [1] statistical environment for...

Statistical analysis is an integral part of medical research. It helps transform raw data into meaningful insights, supports hypothesis testing, optimises study design, assesses risk and prognosis, facilitates evidence-based decision-making. The statistical increases research findings' reliability, validity generalisability, ultimately advancing knowledge improving patient care. Without it, the...