activity
20152025
most citedMeasuring heavy-tailedness of distributions

13 citations · 15 across the 14 of their papers we have counts for

collaborators

14 papers

math.ST2025

IAPO estimators in Exponentiated Frechet case

Pavlina Jordanova, Evelina Veleva

In 2017 Jordanova and co-authors consider probabilities for p-outside values, and later on, they use them in order to construct distribution sensitive IPO estimators. These works d…

stat.ME2024

Probabilities for asymmetric p-outside values

Pavlina K. Jordanova

In 2017-2020 Jordanova and co-authors investigate probabilities for p-outside values and determine them in many particular cases. They show that these probabilities are closely rel…

math.PR2023

Mixed Poisson process with Min-U-Exp mixing variable

Pavlina K. Jordanova, Evelina Veleva, Milan Stehlik

This work continues the research done in Jordanova and Veleva (2023) where the history of the problem could be found. In order to obtain the structure distribution of the newly-def…

math.PR2023

Mixed Poisson process with Max-U-Exp mixing variable -- Working version

Pavlina K. Jordanova, Evelina Veleva

This work defines and investigates the properties of the Max-U-Exp distribution. The method of moments is applied in order to estimate its parameters. Then, by using the previous g…

math.PR2023

Mixed Poisson process with Stacy mixing variable -- Working version

Pavlina K. Jordanova, Mladen Savov, Assen Tchorbadjieff +1

Stacy distribution defined for the first time in 1961 provides a flexible framework for modelling of a wide range of real-life behaviours. It appears under different names in the s…

math.PR2022

Bivariate Compound Poisson Risk Processes with Shocks

Pavlina Jordanova, Evelina Veleva, Kosto Mitov

Contemporary insurance theory is concentrated on models with different types of polices and shock events may influence the payments on some of them. Jordanova (2018) considered a m…

math.PR2021★ 2 cited

Merging of bivariate compound Binomial processes with shocks

Pavlina K. Jordanova, Evelina Veleva

The paper investigates a discrete time Binomial risk model with different types of polices and shock events may influence some of the claim sizes. It is shown that this model can b…

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.ME2017★ 13 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…

math.PR2016

Multivariate compounds with equal number of summands

Pavlina Jordanova

The paper considers multivariate discrete random sums with equal number of summands. Such distributions describe the total claim amount received by a company in a fixed time point.…

stat.ME2015

Flexible Extreme Value Inference And Hill Plots For A Small, Mid And Large Samples

Pavlina Jordanova, Milan Stehlik

Asymptotic normality of extreme value tail estimators received much attention in the literature, giving rise to increasingly complicated 2nd order regularity conditions. However, s…