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- Saralees Nadarajah

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
61
Citations
17,290
975
World Ranking
352
National Ranking
19

- 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.

- 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)

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.

- Statistics (35.06%)
- Applied mathematics (25.91%)
- Mathematical analysis (18.50%)

- Statistics (35.06%)
- Applied mathematics (25.91%)
- Econometrics (8.74%)

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.

- On the inefficiency of Bitcoin (285 citations)
- GARCH Modelling of Cryptocurrencies (116 citations)
- A Statistical Analysis of Cryptocurrencies (76 citations)

- 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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Extreme Value Distributions: Theory and Applications

Samuel Kotz;Saralees Nadarajah.

**(2000)**

1964 Citations

Multivariate T-Distributions and Their Applications

Samuel Kotz;Saralees Nadarajah.

**(2004)**

961 Citations

Lindley distribution and its application

M. E. Ghitany;B. Atieh;S. Nadarajah.

Mathematics and Computers in Simulation **(2008)**

745 Citations

Handbook of Beta Distribution and Its Applications

Arjun K. Gupta;Saralees Nadarajah.

**(2004)**

607 Citations

On the inefficiency of Bitcoin

Saralees Nadarajah;Jeffrey Chu.

Economics Letters **(2017)**

530 Citations

A generalized normal distribution

Saralees Nadarajah.

Journal of Applied Statistics **(2005)**

489 Citations

The beta exponential distribution

Saralees Nadarajah;Samuel Kotz.

Reliability Engineering & System Safety **(2006)**

480 Citations

The Kumaraswamy Weibull distribution with application to failure data

Gauss M. Cordeiro;Edwin M.M. Ortega;Saralees Nadarajah.

Journal of The Franklin Institute-engineering and Applied Mathematics **(2010)**

420 Citations

The Exponentiated Type Distributions

Saralees Nadarajah;Samuel Kotz.

Acta Applicandae Mathematicae **(2006)**

359 Citations

GARCH Modelling of Cryptocurrencies

Jeffrey Chu;Stephen Chan;Saraleesan Nadarajah;Joerg Osterrieder.

Journal of Risk and Financial Management **(2017)**

302 Citations

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