What is he best known for?
The fields of study Ke-Hai Yuan is best known for:
- Statistics
- Normal distribution
- Probability distribution
His Estimator research is covered under the topics of Asymptotic distribution, Robust statistics, M-estimator, Estimating equations and Estimation of covariance matrices.
He integrates many fields, such as M-estimator and Estimator, in his works.
Multivariate normal distribution and Univariate are inextricably linked to his Multivariate statistics research.
Univariate and Multivariate statistics are commonly linked in his work.
In his study, Ke-Hai Yuan carries out multidisciplinary Statistics and Data mining research.
Ke-Hai Yuan combines Data mining and Statistics in his studies.
Ke-Hai Yuan combines Econometrics and Structural equation modeling in his studies.
He integrates Structural equation modeling with Confirmatory factor analysis in his study.
Ke-Hai Yuan incorporates Covariance and Covariance matrix in his research.
His most cited work include:
-
- Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data (1113 citations)
- Structural Equation Modeling with Small Samples: Test Statistics (475 citations)
- Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation (385 citations)
What are the main themes of his work throughout his whole career to date
Ke-Hai Yuan incorporates Statistics and Algorithm in his research.
Ke-Hai Yuan performs multidisciplinary study in Algorithm and Statistics in his work.
By researching both Econometrics and Structural equation modeling, Ke-Hai Yuan produces research that crosses academic boundaries.
While working on this project, he studies both Structural equation modeling and Econometrics.
Borrowing concepts from Covariance matrix, he weaves in ideas under Covariance.
Ke-Hai Yuan performs multidisciplinary studies into Covariance matrix and Covariance in his work.
Ke-Hai Yuan undertakes multidisciplinary investigations into Statistic and Sample size determination in his work.
He conducted interdisciplinary study in his works that combined Sample size determination and Statistic.
He integrates several fields in his works, including Statistical hypothesis testing and Test statistic.
Ke-Hai Yuan most often published in these fields:
- Statistics (94.35%)
- Econometrics (67.74%)
- Applied mathematics (37.10%)
What were the highlights of his more recent work (between 2017-2021)?
- Statistics (82.35%)
- Econometrics (76.47%)
- Structural equation modeling (41.18%)
In recent works Ke-Hai Yuan was focusing on the following fields of study:
His Statistics study in the realm of Missing data connects with subjects such as Econometrics.
His study deals with a combination of Statistics and Missing data.
In his articles, Ke-Hai Yuan combines various disciplines, including Econometrics and Structural equation modeling.
He combines Structural equation modeling and Confirmatory factor analysis in his research.
His Social psychology research overlaps with other disciplines such as Moral disengagement and Developmental psychology.
He integrates Developmental psychology and Social psychology in his research.
His multidisciplinary approach integrates Artificial intelligence and Inference in his work.
Ke-Hai Yuan integrates many fields, such as Inference and Artificial intelligence, in his works.
His research is interdisciplinary, bridging the disciplines of MEDLINE and Law.
Between 2017 and 2021, his most popular works were:
- Callous-Unemotional traits and cyberbullying perpetration: The mediating role of moral disengagement and the moderating role of empathy (33 citations)
- Regression Analysis with Latent Variables by Partial Least Squares and Four Other Composite Scores: Consistency, Bias and Correction (22 citations)
- The Performance of Ten Modified Rescaled Statistics as the Number of Variables Increases (18 citations)
In his most recent research, the most cited works focused on:
- Statistics
- Structural equation modeling
- Factor analysis
His Social psychology research incorporates elements of Developmental psychology and Moral disengagement.
Ke-Hai Yuan performs integrative Developmental psychology and Social psychology research in his work.
His Regression research extends to the thematically linked field of Statistics.
His Regression study frequently links to related topics such as Statistics.
The study of Econometrics is intertwined with the study of Factor analysis in a number of ways.
He integrates many fields, such as Factor analysis and Exploratory factor analysis, in his works.
Ke-Hai Yuan undertakes interdisciplinary study in the fields of Exploratory factor analysis and Confirmatory factor analysis through his research.
Ke-Hai Yuan integrates many fields, such as Confirmatory factor analysis and Structural equation modeling, in his works.
He combines Structural equation modeling and Latent variable in his research.
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