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T. Wet

4 papers hereh-index 14724 citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.CO2
  • stat.ME2
same name
  • T. Wet — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMeasuring inequality: application of semi-parametric methods to real life data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

stat.ME2018

Constant versus Covariate Dependent Threshold in the Peaks-Over Threshold Method

Richard Minkah, Tertius de Wet

The Peaks-Over Threshold is a fundamental method in the estimation of rare events such as small exceedance probabilities, extreme quantiles and return periods. The main problem wit…

stat.ME2017★ 1 cited

Measuring inequality: application of semi-parametric methods to real life data

Tchilabalo Abozou Kpanzou, Tertius de Wet, Gane Samb Lo

A number of methods have been introduced in order to measure the inequality in various situations such as income and expenditure. In order to curry out statistical inference, one o…

stat.CO2017

On Extreme Value Index Estimation under Random Censoring

Richard Minkah, Tertius de Wet, Kwabena Doku-Amponsah

Extreme value analysis in the presence of censoring is receiving much attention as it has applications in many disciplines, including survival and reliability studies. Estimation o…

stat.CO2017

A Simulation Comparison of Estimators of Conditional Extreme Value Index under Right Random Censoring

Richard Minkah, Tertius de Wet, Ezekiel Nii Noi Nortey

In extreme value analysis, the extreme value index plays a vital role as it determines the tail heaviness of the underlying distribution and is the primary parameter required for t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.