I AM

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Hello,

I'm SULTHAN

I'm a Polymath with interest to explore different discipline and an active learner. Did Bachelor (2007-2010) and Master (2010-2012) in Business Administration and now doing PhD in Management (Finance)(2012-present). Apart from my learning in Finance and business management, The origin and existence of human and matters around us thrive my interest to learn and explore different disciplines.


Education
Bachelor of Business Administration

Jamal Mohamed College

Master of Business Administration

Jamal Institute of Manangment

Ph.D in Management (Finance)

Bharathidasan University (2012-Present)


Certificate
R Programming

John Hopkins University, USA (Coursera)

General Islamic Studies Diploma

Islamic Online University, Gambia

Computer application

The Institute of Cost and Works accountant of India


My Skills
R Programming
Data Analysis
Security Analysis and Portfolio Management
Econometrics
Marketing Research
LaTeX

36

Research Publications

2

Books

25

Citations

3

h-index

1

i10-index

1

R Packages developed

Research Interests and Participations

Security Analysis and Portfolio Management

Analysis of various financial instruments

Econometrics

Application of statistical methods to Economic data

Open Source Supporter

I use Linux, Gretl, R programming and other Open Source softwares to support Open Source movement

Wikipedian

Contributes to the collaboratively written online encyclopedia Wikipedia on a regular basis.

Reading

Encyclopedia, History and Non-fictional books

Watching

Documentaries about Cosmology, Nature and Technology. Inspired with works of Stephen Hawking, Carl Sagan, David Attenborough and Many more..

Blog Posts

Peer reviewed paper published: A New Generalisation of Sam-Solai’s Multivariate Wigner Distribution of Kind-1 of Type-B

Download here full paper: Researchgate

Paper published in International Research Journal of Pure Algebra ISSN: 2248-9037


This paper proposed a new generalization of Sam-Solai’s Multivariate Wigner distribution of kind-1 of Type-B from the univariate case. Further, we find its Cumulation, Marginal, Conditional distributions, Generating functions and also discussed its special case. The special cases include the transformation of Sam-solai’s Multivariate Wigner distribution of Kind-1 of Type-B into Multivariate one parameter Wigner distribution of Kind-1 of Type-B, Multivariate Wigner distribution of Kind-1 of Type-A, Multivariate log-Wigner distribution of Kind-1 of Type-B and Multivariate Inverse -Wigner distribution of Kind-1 of Type-B. It is found that the conditional variance of Sam-Solai’s Multivariate conditional Wigner distribution is heteroscedastic and the correlation was found to be +0.16. Area values of the bi-variate Wigner surface also extracted and bi-variate Wigner surfaces, contours are visualized.

Peer reviewed paper published: A New Generalisation of Sam-Solai’s Multivariate Additive Exponential Distribution

Download here full paper: Researchgate


Paper published in International Research Journal of Pure Algebra ISSN: 2248-9037


This paper proposed a new generalization of bounded Continuous multivariate symmetric probability distributions. More specifically the authors visualizes a new generalization of Sam-Solai’s Multivariate additive Exponential distribution from the uni-variate exponential distribution.Further,we find its Marginal, Multivariate Conditional distributions, Multivariate Generating functions, Multivariate survival, hazard functions and also discussed it’s special cases. The special cases includes the transformation of Sam-Solai’s Multivariate additive exponential distribution into Multivariate Inverse exponential distribution, Multivariate Weibull distribution, Multivariate Power law distribution, Multivariate chi-square distribution with two d.f, Multivariate Rayleigh distribution, Multivariate Pareto distribution, Multivariate logistic distribution, Multivariate Generalized extreme value distribution and Multivariate Benktander weibull distribution. Moreover, the bivariate correlation between any two exponential random variables found to be -0.25 and it is independent from the Co-variance. Similarly, we simulated and established a symmetric matrix of Co-variances based on different combinations of values for parameters.

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Contact Us
A.Sulthan
@sulthankhan
India