What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Regression analysis
Paul W. Holland mostly deals with Statistics, Econometrics, Causal inference, Equating and Item response theory.
Statistics is often connected to Simple in his work.
His Econometrics research incorporates themes from Content, Equivalence, Latent variable, Achievement test and Mathematics education.
His research investigates the link between Causal inference and topics such as Causation that cross with problems in Concreteness, Path analysis, Ignorability and Principal stratification.
His Equating research incorporates elements of Kernel, Kernel method and Notation.
His research in Statistical model intersects with topics in Stochastic modelling, Statistical inference, Rubin causal model and Causal model.
His most cited work include:
- Statistics and Causal Inference (3609 citations)
- Robust regression using iteratively reweighted least-squares (1455 citations)
- An Exponential Family of Probability Distributions for Directed Graphs (915 citations)
What are the main themes of his work throughout his whole career to date?
Paul W. Holland mainly investigates Statistics, Equating, Econometrics, Anchor test and Item response theory.
His Statistics study often links to related topics such as Function.
The study incorporates disciplines such as Test score, Kernel and Applied mathematics in addition to Equating.
His work on Causal inference as part of general Econometrics research is frequently linked to Chain, thereby connecting diverse disciplines of science.
His Causal inference research is multidisciplinary, relying on both Causation and Causal model.
His studies in Item response theory integrate themes in fields like Rasch model, Psychometrics and Statistical model.
He most often published in these fields:
- Statistics (58.82%)
- Equating (46.32%)
- Econometrics (43.38%)
What were the highlights of his more recent work (between 2005-2015)?
- Equating (46.32%)
- Statistics (58.82%)
- Econometrics (43.38%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Equating, Statistics, Econometrics, Anchor test and Kernel.
He combines subjects such as Test score, Item response theory, Function and Applied mathematics with his study of Equating.
Paul W. Holland has included themes like Exponential family, Mathematical economics, Statistical model and Scaling in his Item response theory study.
His Econometrics research includes themes of Test, Bivariate analysis, Differential item functioning and Log-linear model.
His Anchor test study also includes fields such as
- Missing data which intersects with area such as Data set and Robust statistics,
- Test forms that intertwine with fields like Equivalence, Natural language processing and Artificial intelligence.
His work carried out in the field of Kernel brings together such families of science as Classical test theory and Test theory.
Between 2005 and 2015, his most popular works were:
- The Kernel Method of Test Equating (226 citations)
- Linking and aligning scores and scales (105 citations)
- Statistical models for test equating, scaling, and linking (68 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Regression analysis
His primary scientific interests are in Equating, Statistics, Econometrics, Anchor test and Kernel.
His Equating study incorporates themes from Statistical hypothesis testing, Mathematical economics, Data collection and Item response theory.
His study in Sample size determination and Test score falls under the purview of Statistics.
His Econometrics research is multidisciplinary, incorporating perspectives in Test, Standard error, Exponential family and Log-linear model.
His Anchor test study combines topics from a wide range of disciplines, such as Function and Test forms.
His biological study deals with issues like Applied mathematics, which deal with fields such as Kernel method and Notation.
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