activity
20192024
most citedNew weighted -type tests for the inverse Gaussian distribution

7 citations · 10 across the 7 of their papers we have counts for

collaborators
Showing stat.MEShow all

5 papers · 1 filter

stat.ME2024

Revisiting the memoryless property -- testing for the Pareto type I distribution

Lethani Ndwandwe, James Allison, Leonard Santana +1

We propose new goodness-of-fit tests for the Pareto type I distribution. These tests are based on a multiplicative version of the memoryless property which characterises this distr…

stat.ME2023★ 1 cited

On a new class of tests for the Pareto distribution using Fourier methods

L. Ndwandwe, J. S. Allison, M. Smuts +1

We propose new classes of tests for the Pareto type I distribution using the empirical characteristic function. These tests are and statistics based on a characterisation o…

stat.ME2022

On fitting the Lomax distribution: a comparison between minimum distance estimators and other estimation techniques

Thobeka Nombebe, James Allison, Leonard Santana +1

In this paper we investigate the performance of a variety of estimation techniques for the scale and shape parameter of the Lomax distribution. These methods include traditional me…

stat.ME2022

A proposed simulation technique for population stability testing in credit risk scorecards

J. du Pisanie, J. S. Allison, I. J. H. Visagie

Credit risk scorecards are logistic regression models, fitted to large and complex data sets, employed by the financial industry to model the probability of default of a potential…

stat.ME2019★ 7 cited

New weighted -type tests for the inverse Gaussian distribution

J. S. Allison, S. Betsch, B. Ebner +1

We propose a new class of goodness-of-fit tests for the inverse Gaussian distribution. The proposed tests are weighted -type tests depending on a tuning parameter. We develop…