What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Mathematical analysis
Saralees Nadarajah mostly deals with Statistics, Applied mathematics, Weibull distribution, Generalized extreme value distribution and Gamma distribution.
His work in Statistics is not limited to one particular discipline; it also encompasses Econometrics.
Saralees Nadarajah interconnects Mathematical optimization, Asymptotic distribution and Exponential distribution in the investigation of issues within Applied mathematics.
His Weibull distribution study combines topics in areas such as Function, Statistical physics and Failure rate.
His Generalized extreme value distribution study integrates concerns from other disciplines, such as Climatology and Gumbel distribution.
The Gamma distribution study combines topics in areas such as Mathematical analysis and Generalized beta distribution.
His most cited work include:
- Extreme Value Distributions: Theory and Applications (834 citations)
- Multivariate T-Distributions and Their Applications (535 citations)
- Handbook of Beta Distribution and Its Applications (353 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Statistics, Applied mathematics, Mathematical analysis, Random variable and Combinatorics.
His Statistics research is multidisciplinary, incorporating perspectives in Distribution and Econometrics.
The various areas that Saralees Nadarajah examines in his Applied mathematics study include Mathematical optimization, Asymptotic distribution, Distribution, Exponential distribution and Calculus.
His work deals with themes such as Type, Ratio distribution, Pure mathematics and Normal distribution, which intersect with Mathematical analysis.
His research integrates issues of Discrete mathematics and Product in his study of Random variable.
As part of his studies on Combinatorics, Saralees Nadarajah often connects relevant areas like Joint probability distribution.
He most often published in these fields:
- Statistics (35.06%)
- Applied mathematics (25.91%)
- Mathematical analysis (18.50%)
What were the highlights of his more recent work (between 2016-2021)?
- Statistics (35.06%)
- Applied mathematics (25.91%)
- Econometrics (8.74%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Statistics, Applied mathematics, Econometrics, Distribution and Estimator.
His study involves Maximum likelihood, Weibull distribution, Normal distribution, Bayes' theorem and Bayesian inference, a branch of Statistics.
As a part of the same scientific study, Saralees Nadarajah usually deals with the Applied mathematics, concentrating on Probability density function and frequently concerns with Multivariate statistics.
As a part of the same scientific family, Saralees Nadarajah mostly works in the field of Econometrics, focusing on Value at risk and, on occasion, Expected shortfall.
His Distribution study is focused on Mathematical analysis in general.
His Estimator study often links to related topics such as Covariance matrix.
Between 2016 and 2021, his most popular works were:
- On the inefficiency of Bitcoin (285 citations)
- GARCH Modelling of Cryptocurrencies (116 citations)
- A Statistical Analysis of Cryptocurrencies (76 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Mathematical analysis
His primary areas of investigation include Statistics, Applied mathematics, Econometrics, Maximum likelihood and Order statistic.
His research in Statistics intersects with topics in Distribution and Generalization.
Saralees Nadarajah has researched Applied mathematics in several fields, including Random variable, Generalized normal distribution, Observed information, Mathematical optimization and Exponential distribution.
His Econometrics study incorporates themes from Cryptocurrency, Value at risk, Parametric statistics and Pareto principle.
His Maximum likelihood study also includes fields such as
- Power series that connect with fields like Expectation–maximization algorithm and Point,
- Bivariate analysis which is related to area like Product, Beta distribution and Conditional moments.
His Order statistic study combines topics from a wide range of disciplines, such as Natural exponential family, Gamma distribution, Estimation theory, Generating function and Quantile function.
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