In this paper, a beta transform of multivariate normal datasets is obtained. The phi divergence measure, DΦ …. Three versions of the statistic are derived from three known phi divergence measures that are based on a sum of squares. The …Statistics in Transition new series vol.26, 2025, 2, Testing for multinormality with goodness-of-fit tests based on phi …

generating function' Phi like Burbea & Rao (1982) or Liese & Vajda (1987) in the context of phi-divergences. Combining the ideas … of a phi-entropy and a cumulative entropy gives the new 'cumulative paired phi-entropy' (CPE ). With some modifications … theory cumulative paired phi- entropies were defined for membership functions. A discrete version serves as a measure of …

willingness of the elderly to disclose personal health information (PHI) to improve the operational efficiency of AI … concerns, and social isolation have a direct impact on the willingness to disclose PHI. Perceived ease of use (PEOU), perceived … with pronounced privacy concerns are less inclined to disclose PHI when using AI-enabled caregiver robots. Practical …

paired ø-divergence that generalizes both the cumulative (residual) entropy and the differential entropy. The phi … production process using phi-charts implies a faster detection of an out-of-control process, which can be crucial for a variety …

We introduce a new class of Shewhart control charts, namely the phi-chart. This new class is based on the cumulative … paired phi-divergence that generalizes both the cumulative (residual) entropy and the differential entropy. The phi … dispersion. We investigate the performance of three of the subclasses of phi-charts in a showcase scenario, comparing its average …