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- Narayanaswamy Balakrishnan

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Mathematics
H-index
82
Citations
78,716
951
World Ranking
56
National Ranking
4

1995 - Fellow of the American Statistical Association (ASA)

- Statistics
- Normal distribution
- Artificial intelligence

Narayanaswamy Balakrishnan mainly focuses on Statistics, Order statistic, Applied mathematics, Estimator and Exponential distribution. Statistics and Inference are frequently intertwined in his study. The study incorporates disciplines such as Recurrence relation, Combinatorics, Distribution, Algorithm and Censoring in addition to Order statistic.

His study on Applied mathematics also encompasses disciplines like

- Mathematical optimization that connect with fields like Weibull distribution,
- Censoring together with Maximum likelihood and Competing risks. His work deals with themes such as Mean squared error and Interval estimation, which intersect with Estimator. His work carried out in the field of Exponential distribution brings together such families of science as Conditional probability distribution, Random variable and Exponential function.

- Continuous univariate distributions (7057 citations)
- A first course in order statistics (1421 citations)
- Continuous Multivariate Distributions (804 citations)

His primary areas of investigation include Statistics, Applied mathematics, Order statistic, Estimator and Exponential distribution. His research in Statistics intersects with topics in Econometrics and Exponential function. His Applied mathematics research integrates issues from Inference, Distribution, Mathematical optimization and Censoring.

His study in Order statistic is interdisciplinary in nature, drawing from both Recurrence relation, Combinatorics, Random variable and Sample. His Estimator study frequently draws connections to other fields, such as Estimation theory. His research combines Censoring and Exponential distribution.

- Statistics (52.70%)
- Applied mathematics (25.36%)
- Order statistic (24.57%)

- Statistics (52.70%)
- Applied mathematics (25.36%)
- Order statistic (24.57%)

Narayanaswamy Balakrishnan mainly focuses on Statistics, Applied mathematics, Order statistic, Estimator and Monte Carlo method. His Statistics research incorporates themes from Inference and Econometrics. Narayanaswamy Balakrishnan interconnects Probability distribution, Distribution, Maximum likelihood, Exponential distribution and Exponential function in the investigation of issues within Applied mathematics.

He has researched Order statistic in several fields, including Random variable and Combinatorics. Estimator is closely attributed to One shot in his work. In his study, which falls under the umbrella issue of Expectation–maximization algorithm, Algorithm is strongly linked to Weibull distribution.

- The Art of Progressive Censoring: Applications to Reliability and Quality (85 citations)
- Birnbaum‐Saunders distribution: A review of models, analysis, and applications (37 citations)
- Expectation maximization-based likelihood inference for flexible cure rate models with Weibull lifetimes (36 citations)

- Statistics
- Normal distribution
- Artificial intelligence

His primary areas of investigation include Statistics, Applied mathematics, Weibull distribution, Order statistic and Expectation–maximization algorithm. His Statistics research is multidisciplinary, incorporating perspectives in Control chart and Econometrics. His study looks at the relationship between Applied mathematics and fields such as Exponential distribution, as well as how they intersect with chemical problems.

His work in Weibull distribution addresses issues such as Series, which are connected to fields such as Parallel computing, Stochastic ordering and Birnbaum–Saunders distribution. He has included themes like Exponentiated Weibull distribution, Random variable, Independent and identically distributed random variables and Majorization, Combinatorics in his Order statistic study. His Expectation–maximization algorithm study combines topics in areas such as Poisson distribution, Inference, Monte Carlo method and Mathematical optimization.

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.

Continuous Multivariate Distributions

Samuel Kotz;N. Balakrishnan;Norman Lloyd Johnson.

**(2009)**

21525 Citations

Continuous Multivariate Distributions: Models and Applications

Samuel Kotz;N. Balakrishnan;Norman L. Johnson.

**(2005)**

18336 Citations

Continuous Univariate Distributions.

Yasuhiro Omori;N. L. Johnson;S. Kotz;N. Balakrishnan.

Journal of the American Statistical Association **(1995)**

11571 Citations

A first course in order statistics

Barry C. Arnold;N. Balakrishnan;H. N. Nagaraja.

**(2008)**

2456 Citations

A First Course in Order Statistics.

H. Papageorgiou;B. C. Arnold;N. Balakrishnan;H. N. Nagaraja.

Biometrics **(1994)**

1619 Citations

Progressive Censoring: Theory, Methods, and Applications

N. Balakrishnan;Rita Aggarwala.

**(2000)**

1134 Citations

Discrete Multivariate Distributions

Norman Lloyd Johnson;Samuel Kotz;N. Balakrishnan.

**(1997)**

1069 Citations

Extreme Value and Related Models with Applications in Engineering and Science

N. Balakrishnan;Ali S. Hadi.

**(2004)**

622 Citations

Continuous Bivariate Distributions

N. Balakrishnan;Chin-Diew Lai.

**(2009)**

616 Citations

Records: Arnold/Records

Barry C. Arnold;N. Balakrishnan;H. N. Nagaraja.

**(1998)**

613 Citations

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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