- Home
- Best Scientists - Mathematics
- Sheldon M. Ross

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
47
Citations
35,709
273
World Ranking
906
National Ranking
438

- Statistics
- Normal distribution
- Random variable

Sheldon M. Ross focuses on Stochastic process, Mathematical optimization, Discrete mathematics, Random variable and Combinatorics. The Stochastic process study combines topics in areas such as Geometric process, Average cost rate, Statistical physics, Function and Convolution. His Mathematical optimization research is multidisciplinary, incorporating elements of Countable set, Decision theory and Markov process.

His Discrete mathematics research incorporates elements of Algebra of random variables, Poisson distribution, Joint probability distribution, Queueing theory and Compound Poisson process. His Random variable study deals with the bigger picture of Statistics. In his study, which falls under the umbrella issue of Applied probability, Probability and statistics is strongly linked to Frequentist probability.

- Introduction to Probability Models. (4075 citations)
- Stochastic Processes (3936 citations)
- Applied Probability Models with Optimization Applications (1847 citations)

Sheldon M. Ross mainly focuses on Statistics, Random variable, Combinatorics, Mathematical optimization and Discrete mathematics. His Statistics research includes elements of Sample variance and Econometrics. Queueing theory is closely connected to Poisson distribution in his research, which is encompassed under the umbrella topic of Random variable.

Sheldon M. Ross has included themes like Stochastic process and Decision theory in his Mathematical optimization study. His Statistical physics research extends to the thematically linked field of Stochastic process. His Discrete mathematics research incorporates themes from Function and State.

- Statistics (26.14%)
- Random variable (21.24%)
- Combinatorics (16.67%)

- Statistics (26.14%)
- Random variable (21.24%)
- Mathematical optimization (15.69%)

Sheldon M. Ross spends much of his time researching Statistics, Random variable, Mathematical optimization, Combinatorics and Econometrics. In his study, Statistic and Descriptive statistics is strongly linked to Sample variance, which falls under the umbrella field of Statistics. His Random variable study combines topics in areas such as Discrete mathematics, Exponential function, Joint probability distribution and Normal distribution.

The concepts of his Mathematical optimization study are interwoven with issues in Queueing theory and Exponential distribution. The Combinatorics study which covers Upper and lower bounds that intersects with Special case. Sheldon M. Ross has researched Econometrics in several fields, including Test, Statistical hypothesis testing, F-test of equality of variances, Conditional probability and Posterior probability.

- Introduction to Stochastic Dynamic Programming (1073 citations)
- Introduction to Probability Theory (58 citations)
- Markov Chain Monte Carlo Methods (14 citations)

- Statistics
- Normal distribution
- Random variable

The scientist’s investigation covers issues in Mathematical optimization, Combinatorics, Statistics, Statistical physics and Random variable. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Selection and Exponential distribution. His study in Combinatorics is interdisciplinary in nature, drawing from both Upper and lower bounds, Mathematical economics, Residual time and Binary number.

As a part of the same scientific family, Sheldon M. Ross mostly works in the field of Statistics, focusing on Econometrics and, on occasion, Empirical probability, Pearson's chi-squared test, Probability and statistics and Mean-preserving spread. His research investigates the connection between Statistical physics and topics such as Markov renewal process that intersect with issues in Markov kernel and Examples of Markov chains. His research in Random variable intersects with topics in Percentile, Interval and Applied mathematics.

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.

Stochastic Processes

Sheldon M. Ross.

**(1982)**

9705 Citations

Introduction to probability models

Sheldon M. Ross.

Published in <b>2010</b> - <b>2011</b> **(1972)**

8955 Citations

Applied Probability Models with Optimization Applications

Sheldon M. Ross.

**(1970)**

3288 Citations

A First Course in Probability

Sheldon M. Ross.

**(1976)**

2987 Citations

Introduction to Stochastic Dynamic Programming

Sheldon M. Ross.

**(2014)**

2008 Citations

Introduction to Probability and Statistics for Engineers and Scientists

Sheldon M. Ross.

**(1987)**

1481 Citations

Introduction to Probability Models, Eighth Edition

Sheldon M. Ross.

**(1972)**

897 Citations

A Course in Simulation

Sheldon M. Ross.

**(1990)**

393 Citations

Introduction to Probability Models.

A. Csenki;S. M. Ross.

The Statistician **(1994)**

382 Citations

Introducción a la estadística

Sheldon M. Ross.

**(2007)**

340 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

University of California, Berkeley

Purdue University West Lafayette

BitRipple

Pohang University of Science and Technology

University of California, Berkeley

Stanford University

Iowa State University

George Washington University

New York University

Tel Aviv University

South China University of Technology

University of Sydney

Chinese Academy of Sciences

University of California, Davis

National Museum of Natural History

Pennsylvania State University

University of Southern California

University of Oxford

Wageningen University & Research

University of Stirling

National Academies of Sciences, Engineering, and Medicine

National Center for Atmospheric Research

Georgia State University

Brigham and Women's Hospital

University of Manchester

University of Edinburgh

Something went wrong. Please try again later.