activity
20202024
most citedBias correction in multiple-systems estimation

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Correspondence analysis: handling cell-wise outliers via the reconstitution algorithm

Qianqian Qi, David J. Hessen, Aike N. Vonk +1

Correspondence analysis (CA) is a popular technique to visualize the relationship between two categorical variables. CA uses the data from a two-way contingency table and is affect…

cs.IR2024★ 1 cited

Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review

Michiel P. Bron, Peter G. M. van der Heijden, Ad J. Feelders +1

Technology-Assisted Review (TAR) aims to reduce the human effort required for screening processes such as abstract screening for systematic literature reviews. Human reviewers labe…

stat.ME2023★ 1 cited

Bias correction in multiple-systems estimation

Daan B. Zult, Peter G. M. van der Heijden, Bart F. M. Bakker

If part of a population is hidden but two or more sources are available that each cover parts of this population, dual- or multiple-system(s) estimation can be applied to estimate…

stat.ME2023★ 1 cited

Generating contingency tables with fixed marginal probabilities and dependence structures described by loglinear models

Ceejay Hammond, Peter G. M. van der Heijden, Paul A. Smith

We present a method to generate contingency tables that follow loglinear models with prescribed marginal probabilities and dependence structures. We make use of (loglinear) Poisson…

stat.AP2020

Multiple system estimation using covariates having missing values and measurement error: estimating the size of the Māori population in New Zealand

Peter G. M. van der Heijden, Maarten Cruyff, Paul A. Smith +3

We investigate use of two or more linked registers, or lists, for both population size estimation and to investigate the relationship between variables appearing on all or only som…