Data from Internet telescopes that monitor routed but unused IP address space has been the
basis for myriad insights on malicious, unwanted, and unexpected behavior. However …

In this paper, we introduce additional statistical tools for estimating the maximum regional
earthquake magnitude, m_\max m max, as complement to those already introduced by Kijko …

The constructed estimator is introduced for the right truncation point of the truncated
exponential distribution. The new estimator is most efficient in important ranges of truncation …

Characterizing dispersal kernels from truncated data is important for managing and
predicting population dynamics. We used mark‐recapture data from 10 previously published …

Given the spectrogram of an unknown signal embedded in a Gaussian noise, the Minimal
Statistics Maximum Likelihood (MiniSMaL) estimator of the noise time-varying power …

The distribution of the probabilities of misclassification is derived in this paper, which are
reproduced by the use of the linear discriminant function. The statistical background is two …

For many data-driven reliability problems, the population is not homogeneous; ie, its
statistics are not described by a unimodal distribution. Also, the interval of observation may …

Over the last two decades, the modeling of operational risk has become increasingly
important and it is nowadays mandatory for banks to allocate a capital charge to cover most …

Most engineering systems are repairable. If a component or system fails, a repair (renewal
or replacement) may occur so that the system can be put back in service. The repair strategy …

The theme of this work is truncation. We revisit the truncated Pareto (TP) distribution, which
is a useful power-law stochastic model for positive data that are subjected to truncation. We …