Pavlina Jordanova, Milan Stehlik,
"IPO estimation of heaviness of the distribution beyond regularly varying tails"
, in Stochastic Analysis and Applications, 2019, ISSN: 0736-2994
Original Titel:
IPO estimation of heaviness of the distribution beyond regularly varying tails
Sprache des Titels:
Englisch
Original Kurzfassung:
We introduce a completely novel method for estimation of the parameter which governs the tail behaviour of the cumulative distribution function of the observed random variable. We call it Inverse Probabilities for p-Outside values (IPO) estimation method. We show that this approach is applicable for wider class of distributions than the one with regularly varying tails. We demonstrate that IPO method is a valuable competitor to regularly varying tails based estimation methods. Some of the properties of the estimators are derived. The results are illustrated by a convenient simulation study.
Forschungs-