What is he best known for?
The fields of study he is best known for:
- Statistics
- Probability distribution
- Random variable
His scientific interests lie mostly in Combinatorics, Statistics, Random variable, Order statistic and Stochastic ordering.
His work in the fields of Statistics, such as Statistical hypothesis testing, M-estimator, Restricted maximum likelihood and Estimation theory, overlaps with other areas such as Likelihood principle.
His Random variable research is multidisciplinary, incorporating perspectives in Stochastic process and Order.
His Order statistic study integrates concerns from other disciplines, such as Majorization, Weibull distribution and Exponential function.
His Exponential function research includes elements of Upper and lower bounds and Exponential distribution.
His work carried out in the field of Stochastic ordering brings together such families of science as Representation, Scale parameter and Coherence.
His most cited work include:
- The signature of a coherent system and its application to comparisons among systems (229 citations)
- Aspects of positive ageing (161 citations)
- Stochastic comparisons of parallel systems of heterogeneous exponential components (135 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Statistics, Combinatorics, Order statistic, Random variable and Econometrics.
Subhash C. Kochar works mostly in the field of Combinatorics, limiting it down to topics relating to Absolute continuity and, in certain cases, Distribution free.
His Order statistic research focuses on Exponential function and how it relates to Outlier.
He works mostly in the field of Random variable, limiting it down to concerns involving Discrete mathematics and, occasionally, Distribution.
His study on Econometrics also encompasses disciplines like
- Statistical hypothesis testing which intersects with area such as U-statistic,
- Hazard together with Proportional hazards model.
His work in Independent and identically distributed random variables addresses subjects such as Applied mathematics, which are connected to disciplines such as Skewness.
He most often published in these fields:
- Statistics (52.34%)
- Combinatorics (37.50%)
- Order statistic (32.81%)
What were the highlights of his more recent work (between 2009-2020)?
- Random variable (29.69%)
- Statistics (52.34%)
- Order statistic (32.81%)
In recent papers he was focusing on the following fields of study:
Subhash C. Kochar focuses on Random variable, Statistics, Order statistic, Combinatorics and Stochastic process.
The various areas that Subhash C. Kochar examines in his Random variable study include Majorization, Stochastic optimization and Convolution.
His study in Statistics is interdisciplinary in nature, drawing from both Econometrics and Applied mathematics.
His work in Order statistic addresses issues such as Exponential function, which are connected to fields such as Distribution and Skewness.
His Combinatorics study incorporates themes from Generalized gamma distribution, Weibull distribution and Independent and identically distributed random variables.
His study looks at the intersection of Stochastic process and topics like Mathematical statistics with Star.
Between 2009 and 2020, his most popular works were:
- Stochastic comparisons of order statistics in the scale model (71 citations)
- Stochastic Order Relations Among Parallel Systems from Weibull Distributions (55 citations)
- On the right spread order of convolutions of heterogeneous exponential random variables (41 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Probability distribution
- Random variable
Subhash C. Kochar mostly deals with Statistics, Order statistic, Stochastic process, Applied mathematics and Exponential function.
His Statistics study combines topics from a wide range of disciplines, such as Majorization and Combinatorics.
Subhash C. Kochar has included themes like Exponentiated Weibull distribution, Stochastic ordering, F-distribution, Generalized function and Scale in his Combinatorics study.
His Stochastic process research incorporates elements of Sample and Mathematical statistics.
His Applied mathematics research is multidisciplinary, incorporating perspectives in Skewness, Independent and identically distributed random variables and Exponential distribution.
His biological study spans a wide range of topics, including Probability theory, Open problem, Hazard, Proportional hazards model and Residual.
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