i-manager's Journal on Mathematics (JMAT)


Volume 6 Issue 4 October - December 2017

Research Paper

The Coefficient of Consociation: The Novel Statistic that measures uniformity through Neuroscientific Tri-Point Triangulation to define, explain, and express the Research Application of the Law of Trichotomy

James Edward Osler II*
Associate Professor, Department of Curriculum and Instruction, North Carolina Central University, USA.
Osler, J. E., II. (2017). The Coefficient of Consociation: The Novel Statistic that measures uniformity through Neuroscientific Tri-Point Triangulation to define, explain, and express the Research Application of the Law of Trichotomy. i-manager’s Journal on Mathematics, 6(4), 1-18. https://doi.org/10.26634/jmat.6.4.13861

Abstract

This discourse provides a novel statistic for the measurement of uniformity. This novel statistic has new notation, models, and operations that resolve the differences in the three primary statistical methodologies. It also extends the research that appeared in the July–September i-manager’s Journal of Educational Technology and the March–May i-manager’s Journal on Circuits and Systems. The “Coefficient of Consociation” is a unique statistic that is represented by the lower case Greek letter upsilon [ν]. The Coefficient of Consociation is a trichotomous research statistic that measures and analyzes research through the use of trichotomous models, methodology, and the Tri-Squared Meta-Analysis Test (Osler and Wright, 2015b) which is a part of its data measurement analytical methodology. Neuroscientific terminology is provided in the narrative review of literature to explain the foundations of trichotomous-based research and trichotomously-grounded research designs. Additional research into consociation as a measure of uniformity will further advance in-depth investigations into the tripartite aspects of nature and natural phenomena based on the mathematical law of trichotomy.

Research Paper

Synchronization of Two Identical Circular Restricted Three Body Problem using a Robust Adaptive Sliding Mode Controller with Application to Secure Communications

Mohammad * , Mohammed Raziuddin**, Ahmed Mohiuddin Mohammed***
* Assistant Professor, Department of General Requirements, College of Applied Sciences, Nizwa, Oman.
** Research Scholar, Singhania University, Jhunjhunu, Rajasthan, India.
*** Department of Mathematics & Statistics, Sultan Qaboos University.
Shahzad, M., Raziuddin, M., Mohammed, A.M. (2017). Synchronization of Two Identical Circular Restricted Three Body Problem using a Robust Adaptive Sliding Mode Controller with Application to Secure Communications. i-manager’s Journal on Mathematics, 6(4), 19-28. https://doi.org/10.26634/jmat.6.4.13862

Abstract

In this paper, the authors have synchronized the two identical systems of Circular Restricted Three Body Problem evolving from different initial conditions using a Robust Adaptive Sliding Mode Controller. The two chaotic identical systems have been synchronized under the effects of uncertainties and external disturbances with unknown parameters. A simple suitable sliding surface, which includes synchronization errors, is constructed and appropriate update laws are implemented to tackle the uncertainties, external disturbances, and unknown parameters. For the synchronization of the two identical systems under consideration, all simulations are being done using Mathematica. Furthermore, the secure communication scheme has also been demonstrated.

Research Paper

Cut-Off Points for Various Tests for Circular Uniformity

V. J. Devaraaj* , S. V. S. Girija**, A. V. Dattatreya Rao***
* Associate Professor, Department of Basic Science & Humanities, V.K.R, V.N.B and A.G.K. College of Engineering, Gudivada, (A.P), India.
** Associate Professor, Department of Mathematics, Hindu College, Guntur, (A.P), India.
*** Former Professor, Department of Statistics, Acharya Nagarjuna University, Guntur, (A.P), India.
Devaraaj, V.J., Girija, S.V.S., Rao, A.V.D. (2017). Cut-Off Points for Various Tests for Circular Uniformity. i-manager’s Journal on Mathematics, 6(4), 29-38. https://doi.org/10.26634/jmat.6.4.13863

Abstract

Because of central role played by Circular Uniform Distribution, the most important hypothesis about a distribution on the Circle is that of Uniformity. Though several tests were proposed, cut-off points for various sample sizes and level of significance were not made available in the literature. Hence, an attempt is made here to present tables of cut-off points and their utility in discussing goodness of fit of a model is presented.

Research Paper

Discrimination Between Burr Type X Distribution Versus Log – Logistic and Weibull - Exponential Distributions

M. S. Ravikumar* , R. R. L. Kantam**
* Associate Professor, Department of Community Medicine, Konaseema Institute of Medical Sciences & Research Foundation/ General Hospital, Amalapuram, Andhra Pradesh, India.
** Former Professor, Department of Statistics, Acharya Nagarjuna University, Nagarjunanagar, Andhra Pradesh, India.
Ravikumar, M.S., Kantam, R.R.L. (2017). Discrimination Between Burr Type X Distribution Versus Log – Logistic and Weibull - Exponential Distributions. i-manager’s Journal on Mathematics, 6(4), 39-50. https://doi.org/10.26634/jmat.6.4.13864

Abstract

The well known Burr type X distribution is considered as a null population. Log-logistic and Weibull-Exponential (Dubey - 1966) distributions are taken as alternative populations. Two test statistics based on population quantiles, Likelihood Ratio (LR) type criteria are suggested to discriminate between the considered null and alternative populations. The percentiles of the proposed test statistics are evaluated. The performance of the test procedures are compared through the respective values of computed power functions.

Research Paper

On L - Axial Chi-Square Distribution

Phani Yedlapalli* , S. V. S. Girija**, A. V. Dattatreya Rao***, K. Uday Kumar****
* Associate Professor of Mathematics, Department of Basic Science, Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, India.
** Associate Professor, Department of Mathematics, Hindu College, Guntur, India.
*** Professor, Department of Statistics, Acharya Nagarjuna University, Guntur, India.
**** Research Scholar, Department of Statistics, Acharya Nagarjuna University, Guntur, India.
Yedlapalli, P., Girija, S.V.S., Rao, A.V.D. (2017). On L - Axial Chi-Square Distribution. i-manager’s Journal on Mathematics, 6(4), 51-58. https://doi.org/10.26634/jmat.6.4.13865

Abstract

Glancing the literature, semicircular, arc and skewed angular data is observed in the applications such as Feldspar laths data (Fisher, 1993, p. 240), Face - cleat in a coal seam data (Fisher, 1993, p. 254), Fallen trees data (Toshihiro, et al., 2012), face recognition problem, etc., and not much was done to model such angular data. Moreover Chi – Square distribution can be used as a quick test of significance in most situations, especially using machine learning algorithms. This finer pointer has become a motivating factor to work on l - axial (arc) models, and they can be viewed as the most general angular models from which Circular, Semicircular and other kinds of models could be deduced as particular cases and also to derive new angular model from Chi-Square distribution. In this paper, the authors introduce a new semicircular model, induced by Modified Inverse Stereographic Projection on Chi-Square distribution for modeling semicircular data. The authors extend it to the l- axial Chi-Square distribution for modeling axial data and also they derive the first two trigonometric moments for the proposed distribution in closed forms.