What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Regression analysis
His primary areas of investigation include Econometrics, Regression analysis, Credibility, Asymptotic distribution and Fixed effects model.
His Econometrics study combines topics in areas such as Actuarial science, Statistics, Linear regression and Auto insurance risk selection.
His research integrates issues of Linear model and Proper linear model, Multivariate adaptive regression splines, Bayesian multivariate linear regression in his study of Actuarial science.
His Regression analysis research integrates issues from Logistic regression, Hierarchical database model, Negative binomial distribution, Multinomial distribution and Statistical model.
His research in Asymptotic distribution intersects with topics in Volatility, Financial economics and Test statistic.
His Fixed effects model course of study focuses on Limited dependent variable and Panel data.
His most cited work include:
- Longitudinal and Panel Data: Analysis and Applications in the Social Sciences (534 citations)
- Assessing cross-sectional correlation in panel data (312 citations)
- Annuity Valuation with Dependent Mortality (180 citations)
What are the main themes of his work throughout his whole career to date?
Edward W. Frees mainly investigates Econometrics, Actuarial science, Statistics, Estimator and Regression analysis.
His Econometrics research includes themes of Linear model, Multivariate statistics and Linear regression.
His work carried out in the field of Actuarial science brings together such families of science as Credibility, Financial services and Portfolio.
His study in the field of Regression diagnostic, Sample size determination, Statistic and Heteroscedasticity is also linked to topics like Best linear unbiased prediction.
His Estimator research is multidisciplinary, incorporating perspectives in Nonparametric statistics, Renewal theory and Mathematical optimization.
His Regression analysis research is multidisciplinary, incorporating elements of Logistic regression, Categorical variable and Regression.
He most often published in these fields:
- Econometrics (46.60%)
- Actuarial science (45.63%)
- Statistics (18.45%)
What were the highlights of his more recent work (between 2012-2021)?
- Actuarial science (45.63%)
- Econometrics (46.60%)
- Regression analysis (16.50%)
In recent papers he was focusing on the following fields of study:
Edward W. Frees mostly deals with Actuarial science, Econometrics, Regression analysis, Underwriting and Analytics.
His Actuarial science study combines topics from a wide range of disciplines, such as Credibility, Copula, Financial services, Portfolio and Risk management.
His study in Portfolio is interdisciplinary in nature, drawing from both Rate making, Skewness, Profitability index and Expected loss.
Edward W. Frees combines subjects such as Categorical variable, Generalized linear model, Multivariate statistics and Bayesian linear regression with his study of Econometrics.
The subject of his Regression analysis research is within the realm of Statistics.
Edward W. Frees interconnects Adverse selection and Actuary in the investigation of issues within Underwriting.
Between 2012 and 2021, his most popular works were:
- Multivariate Frequency-Severity Regression Models in Insurance (54 citations)
- Insurance Ratemaking and a Gini Index (40 citations)
- Insurance Ratemaking and a Gini Index (40 citations)
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