i-manager's Journal on Mathematics (JMAT)


Volume 4 Issue 3 July - September 2015

Research Paper

Introducing TRICOVA:“ Trichotomous Covariance” A Post Hoc Advanced Statistical Test of Qualitative and Quantitative Group Variances to Determine the Strength of the Relationships Between Variables of the Tri–Squared Test

James Edward Osler II*
Associate Professor, Department of Curriculum and Instruction, North Carolina Central University, USA.
Osler, J. E., II. (2015). Introducing TRICOVA:“ Trichotomous Covariance” A Post Hoc Advanced Statistical Test of Qualitative and Quantitative Group Variances to Determine the Strength of the Relationships Between Variables of the Tri–Squared Test. i-manager’s Journal on Mathematics, 4(3), 1-16. https://doi.org/10.26634/jmat.4.3.3595

Abstract

This monograph provides an epistemological rational for novel “Trichotomous Covariance” statistic represented by the acronym [“TRICOVA”]. This new statistic is an innovative in depth way of investigating a Post Hoc Tri–Squared Test as an advanced data analytical methodology. TRICOVA is a detailed statistical procedure for the internal testing of the outcomes of a significant transformation of qualitative data into quantitative outcomes through the Tri–Squared Test (first introduced in the i-manager’s Journal on Mathematics, and detailed further in the Journal on Educational Technology, Journal on School Educational Technology, and in the Journal on Educational Psychology). TRICOVA as an advanced statistical procedure; is designed to measure the overall size of the movement (or change) between inputted and outputted Tri–Squared variables. It is also designed to identify the magnitude and type of covariant relationship in existence between Tri–Squared Test qualitative and quantitative variables. This new innovative approach to the advanced statistical post hoc metrics of the Tri–Squared Test adds an additional layer of richness and insight into the inner workings of the Tri–Squared Test. It also adds considerable value to the mixed methods approach of research design that involves the holistic combination and comparison of qualitative and quantitative data outcomes. Two TRICOVA equations are presented as well as the entire process of advanced statistical Tri–Covariance analytics that display how to conduct Trichotomous Covariance inquiry.

Research Paper

Synchronization of Three Dimensional Cancer Model with Chen System using a Robust Adaptive Sliding Mode Controller with application to secure communications

Mohammad * , Mohammed Raziuddin**
* Assistant Professor, Department of General Requirements, College of Applied Sciences, Nizwa, Oman.
** Lecturer, Department of Information Technology, College of Technology, Nizwa ,Oman.
Shahzad, M., and Raziuddin, M. (2015). Synchronization of Three Dimensional Cancer Model with Chen System using a Robust Adaptive Sliding Mode Controller with application to secure communications. i-manager’s Journal on Mathematics, 4(3), 17-24. https://doi.org/10.26634/jmat.4.3.3596

Abstract

In this computational research paper, the authors have synchronized the Three Dimensional Cancer Model (TDCM) with Chen System (CS) using a Robust Adaptive Sliding Mode Controller (RASMC) together with uncertainties, external disturbances and fully unknown parameters. A simple suitable sliding surface, which includes synchronization errors, is constructed and appropriate update laws are used to tackle the uncertainties, external disturbances and unknown parameters. All simulations to achieve the synchronization for the proposed technique for the two non-identical systems under consideration are being done using Mathematica. Furthermore, application to secure communication is also demonstrated on tumor cells.

Research Paper

A New Multiple Hilbert-Type Integral Inequality With A Non-Homogeneous Form

Zheng Zeng* , Xie Zitian**
* Professor, Foshan University, Foshan, Guangdong, China.
** Professor and Executive Director, Foshan University, Foshan, Guangdong, China.
Zeng, Z., and Xie, Z. (2015). A New Multiple Hilbert-Type Integral Inequality with A Non-Homogeneous Form. i-manager’s Journal on Mathematics, 4(3), 25-34. https://doi.org/10.26634/jmat.4.3.3597

Abstract

Hilbert-type inequalities are important in analysis and its applications. In recent years, some authors have studied and published a few Hilbert-type multiple integral inequalities, which are hard and interesting. In this paper, by estimating the weight function and technique of real analysis, the authors give a new multiple Hilbert-type integral inequality with a non-Homogeneous form as, F(x,y) f(x)g(y)dxdy < K f g (p >1). The best possible Rn+ x Rn+ p,w q,w constant factor is given, and the equivalent form is also considered. Many particular cases of Hilbert-type integral inequality with a non-homogeneous form are included. As its applications, the authors have considered some particular results.

Research Paper

Unsteady Magnetohydrodynamic (MHD) Convective Heat Generating Flow Through A Porous Medium in A Vertical Plate In the Presence of Radiative Heat Transfer

J. Girish Kumar*
Lecturer, Department of Mathematics, Government Degree College, Kadapa, Andhra Pradesh, India.
Kumar, J.G. (2015). Unsteady Magneto Hydro Dynamic Convective Heat Generating Flow Through A Porous Medium in A Vertical Plate In the Presence of Radiative Heat Transfer. i-manager’s Journal on Mathematics, 4(3), 35-48. https://doi.org/10.26634/jmat.4.3.3598

Abstract

Free convective oscillatory mass transfer flow past an infinite vertical porous plate with heat and mass fluxes in the presence of uniform magnetic field and heat generation through porous medium is analytically investigated. Effects of radiation and viscous dissipation on the unsteady two-dimensional flow of a viscous incompressible, electrically conducting with optical thin gray fluid are considered. Approximate solutions have been derived from the velocity, temperature and concertation fields, coefficient of skin-friction, Nusselt number and Sherwood number using multi-parameter perturbation technique. It is observed that the increase in radiation parameter decreases the both velocity and temperature.

Research Paper

New Exponential Smoothing for Intraday Data

S. Venkatramana Reddy* , B. Hari Mallikarjuna Reddy**, B. Sarojamma***, R. Abbaiah****
** Accademic Consultant, Department of Statistics, Sri Venkadeswara University, Tirupati, India.
*** Assistant Professor, Department of Statistics, Sri Venkadeswara University, Tirupati, India.
**** Vice Principal, Department of Statistics, Sri Venkadeswara University, Tirupati, India
Reddy, S.V., Reddy, B.H.M., Sarojamma, B., Abbaiah, R. (2015). New Exponential Smoothing For Intraday Data. i-manager’s Journal on Mathematics, 4(3), 49-54. https://doi.org/10.26634/jmat.4.3.3599

Abstract

Now-a-days intraday time series models are playing a wide role in various sectors like wind speed data, temperature data, sensex data etc. In this paper, the authors have introduced a new exponential smoothing model and Auto Regressive Moving Average (ARMA) models for intraday data. These two models are empirically tested using wind speed data of Gadanki, Chittoor District. Between these two models which model is better performed and the wind speed data is tested using Root Mean Square Error (RMSE). Kolmogorov Smirnov test is used for goodness of fit. Among the compared 25 ARMA models and new exponential smoothing model, RMSE of new exponential smoothing model is low. Therefore, the authors have concluded that, the new exponential smoothing model is the best model for wind speed data of Gadanki.