activity
20172020
most citedMeasuring heavy-tailedness of distributions

13 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

math.ST2020

Distribution sensitive estimators of the index of regular variation based on ratios of order statistics

Pavlina K. Jordanova, Milan Stehlí k

Ratios of central order statistics seem to be very useful for estimating the tail of the distributions and therefore, quantiles outside the range of the data. In 1995 Isabel Fraga…

math.ST2019

Logarithm of ratios of two order statistics and regularly varying tails

Pavlina K. Jordanova, Milan Stehlík

Here we suppose that the observed random variable has cumulative distribution function with regularly varying tail, i.e. , . Using the results about expo…

math.PR2019

Tails and probabilities for -outside values

Pavlina Jordanova

The task for a general and useful classification of the tail behaviors of probability distributions still has no satisfactory solution. Due to lack of information outside the range…

math.PR2018

On multivariate modifications of Cramer Lundberg risk model with constant intensities

Pavlina K. Jordanova, Milan Stehlik

The paper considers very general multivariate modifications of Cramer-Lundberg risk model. The claims can be of different types and can arrive in groups. The groups arrival process…

stat.ME201713 cited

Measuring heavy-tailedness of distributions

Pavlina K. Jordanova, Monika P. Petkova

Different questions related with analysis of extreme values and outliers arise frequently in practice. To exclude extremal observations and outliers is not a good decision because…