Extreme temperature of several stations in Malaysia is modelled by fitting the monthly maximum to the Generalized Extreme Value (GEV) distribution. The Mann-Kendall (MK) test suggests a non-stationary model. Two models are considered for stations with trend and the Likelihood Ratio test is used to determine the best-fitting model. Results show that half of the stations favour a model which is l...

We study time series concerning rare events. The occurrence of a rare event is depicted as a jump of constant intensity always occurring in the same direction, thereby generating an asymmetric diffusion process. We consider the case where the waiting time distribution is an inverse power law with index μ. We focus our attention on μ < 3, and we evaluate the scaling δ of the resulting diffusion ...

TI1e fraud/uncollectible debt1 problem in the telecommunications industry presents two technical challenges: the detection and the treaunent of the account given the detection. In this paper, we focus on the first problem of detection using Bayeshm network models, and we briefly discuss U1e application of a nonnative expert system for U1e treatment at tl1e end. We apply Bayesian network models ...

Global warming changes the Earth's climate in different ways, particular it influences extreme weather events like storms. Strong storms cause large surges and thus have a signature sea level record. While previous studies focused on long-term of storm surge amplitude or frequency, timing not been investigated so far. We employed more than 150 yr long tide gauge record Brest (France) found dist...