J. Allison

most citedNew weighted

L^{2}

-type tests for the inverse Gaussian distribution

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

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.ME2019★ 7 cited

New weighted $L^{2}$ -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 $L^{2}$ -type tests depending on a tuning parameter. We develop…

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

New weighted L2-type tests for the inverse Gaussian distribution

New weighted $L^{2}$ -type tests for the inverse Gaussian distribution