What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Random variable
His main research concerns Statistics, Resampling, Applied mathematics, Statistical hypothesis testing and Estimator.
His study in Joint probability distribution, Probability distribution, Sample size determination, Probability density function and Confidence interval is carried out as part of his studies in Statistics.
The study incorporates disciplines such as Jackknife resampling and Stationary process in addition to Joint probability distribution.
The study incorporates disciplines such as Nonparametric statistics and Permutation in addition to Resampling.
His Statistical hypothesis testing research incorporates elements of Multiple comparisons problem, Machine learning and Benchmark.
His biological study spans a wide range of topics, including Mean squared error, Behrens–Fisher problem and Coupling.
His most cited work include:
- The stationary bootstrap (1731 citations)
- Large Sample Confidence Regions Based on Subsamples under Minimal Assumptions (533 citations)
- Stepwise multiple testing as formalized data snooping (342 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Statistics, Multiple comparisons problem, Applied mathematics, Resampling and Statistical hypothesis testing.
His is involved in several facets of Statistics study, as is seen by his studies on Confidence interval, Nonparametric statistics, Sample size determination, Probability distribution and Coverage probability.
His work deals with themes such as Null hypothesis, Econometrics and Word error rate, which intersect with Multiple comparisons problem.
The concepts of his Applied mathematics study are interwoven with issues in Feature, Weak convergence, Inference, Estimator and Confidence region.
His Resampling research incorporates themes from Jackknife resampling, Permutation and Joint probability distribution.
His Statistical hypothesis testing study incorporates themes from Discrete mathematics, Mathematical statistics and Calculus.
He most often published in these fields:
- Statistics (50.30%)
- Multiple comparisons problem (29.70%)
- Applied mathematics (21.21%)
What were the highlights of his more recent work (between 2016-2021)?
- Statistics (50.30%)
- Null hypothesis (18.18%)
- Multiple comparisons problem (29.70%)
In recent papers he was focusing on the following fields of study:
Joseph P. Romano mainly investigates Statistics, Null hypothesis, Multiple comparisons problem, Inference and Statistical hypothesis testing.
Statistics is closely attributed to Permutation in his research.
His research in Null hypothesis focuses on subjects like Applied mathematics, which are connected to Combinatorics, Weak convergence and Asymptotic distribution.
Joseph P. Romano combines subjects such as Bonferroni correction, Multiple hypothesis, Data mining and Word error rate with his study of Multiple comparisons problem.
His Statistical hypothesis testing study combines topics in areas such as Algorithm and Type I and type II errors.
His Nominal level study integrates concerns from other disciplines, such as Estimator, Exact test, Studentization and Joint probability distribution.
Between 2016 and 2021, his most popular works were:
- Randomization Tests Under an Approximate Symmetry Assumption (49 citations)
- Resurrecting Weighted Least Squares (31 citations)
- Robust Permutation Tests For Correlation And Regression Coefficients (28 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Random variable
His main research concerns Null hypothesis, Statistics, Resampling, Multiple comparisons problem and Inference.
Joseph P. Romano has researched Null hypothesis in several fields, including Weak convergence, Asymptotic distribution and Combinatorics.
His Resampling research is multidisciplinary, relying on both Nominal level and Studentization.
His Multiple comparisons problem research includes elements of Bonferroni correction and Multiple hypothesis.
Joseph P. Romano works mostly in the field of Multiple hypothesis, limiting it down to concerns involving Range and, occasionally, Statistical hypothesis testing.
His research integrates issues of Average treatment effect, Estimator, Student's t-test, Standard error and Regression analysis in his study of Inference.
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