2023 - Research.com Mathematics in Canada Leader Award
2022 - Research.com Mathematics in Canada Leader Award
1995 - Fellow of the American Statistical Association (ASA)
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
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.
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.
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.
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Continuous Multivariate Distributions
Samuel Kotz;N. Balakrishnan;Norman Lloyd Johnson.
Wiley StatsRef: Statistics Reference Online (2014)
Continuous Multivariate Distributions: Models and Applications
Samuel Kotz;N. Balakrishnan;Norman L. Johnson.
(2005)
Continuous Univariate Distributions.
Yasuhiro Omori;N. L. Johnson;S. Kotz;N. Balakrishnan.
Journal of the American Statistical Association (1995)
Continuous univariate distributions
Norman Lloyd Johnson;Samuel Kotz;N. Balakrishnan.
(1994)
A first course in order statistics
Barry C. Arnold;N. Balakrishnan;H. N. Nagaraja.
(1992)
A First Course in Order Statistics.
H. Papageorgiou;B. C. Arnold;N. Balakrishnan;H. N. Nagaraja.
Biometrics (1994)
Progressive Censoring: Theory, Methods, and Applications
N. Balakrishnan;Rita Aggarwala.
(2000)
Discrete Multivariate Distributions
Norman Lloyd Johnson;Samuel Kotz;N. Balakrishnan.
(1997)
Continuous Bivariate Distributions
N. Balakrishnan;Chin-Diew Lai.
(2009)
Records: Arnold/Records
Barry C. Arnold;N. Balakrishnan;H. N. Nagaraja.
(1998)
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