J. Verkuilen
Statistics and Probability · 2002–2021
A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 31 citations into it; #1,323 of 12,932 by trust here, #3,330 by citations
- General Health Professions — 26 citations into it
- Social Psychology — 22 citations into it
- Management Science and Operations Research — 12 citations into it; #3,268 of 11,946 by trust here, #8,906 by citations
- Organizational Behavior and Human Resource Management — 12 citations into it
- Artificial Intelligence — 8 citations into it; #18,655 of 35,345 by trust here, #34,213 by citations
Whom J. Verkuilen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Gelman
- Silvia L. P. Ferrari
- Francisco Cribari‐Neto
- Amos Tversky
- William J. Browne
- R. Kieschnick
- Eric R. Ziegel
- Klaus L. P. Vasconcellos
- Michael Smithson
- Sara Dolnicar
Who trusts J. Verkuilen overall
- Kalle Pajunen
- L. Gray
- Ian N. Durbach
- C. Bayes
- Silvia L. P. Ferrari
- Francisco Cribari‐Neto
- M. H. Alava
- T. Stewart
- Christian Bjørnskov
- Jorge L. Bazán
Papers from J. Verkuilen's perspective
Ordered by how strongly the researchers J. Verkuilen trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
- Beta Regression for Modelling Rates and Proportions
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- Conservative prior distributions for variance parameters in hierarchical models
- Partitioning variation in multilevel models
- Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model
- On beta regression residuals
- Bayesian and likelihood-based methods in multilevel modeling 1 A comparison of Bayesian and likelihood-based methods for fitting multilevel models
- A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. (Psychological methods)
- Inference from Iterative Simulation Using Multiple Sequences
Their papers
- A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. (2006) — 1,563 citations
- Conceptualizing and Measuring Democracy (2002) — 1,027 citations
- Mixed and Mixture Regression Models for Continuous Bounded Responses Using the Beta Distribution (2012) — 133 citations
- Assigning Membership in a Fuzzy Set Analysis (2005) — 160 citations
- Is Burnout a Depressive Condition? A 14-Sample Meta-Analytic and Bifactor Analytic Study (2021) — 102 citations