https://royalliteglobal.com/jmes/gateway/plugin/WebFeedGatewayPlugin/atomResearch Journal in Mathematics, Econometrics and Statistics2023-05-27T08:35:58+00:00Linda SmailLynda.smail@gmail.comOpen Journal Systems<p style="text-align: justify;">Part of Royallite Global, <em>Research Journal in Mathematics, Econometrics and Statistics</em> is a multidisciplinary journal that aims at publishing original and peer-reviewed papers across the breadths of mathematics, econometrics and statistics. Emphasis is given to both theoretical and applied research papers dealing with the applications of mathematics, econometrics and statistics in solving problems in sciences, social sciences, business, finance, economics and mathematics related topics. The journal publishes research and review articles, short communications, editorials, book reviews, case reports, and research notes.</p>https://royalliteglobal.com/jmes/article/view/1166Posterior Computation and Test The Model Using The Bayes Coefficient for Linear Mixed Model2023-07-16T12:32:32+00:00Hayder Abbood KoriHussain Ali Abbedllah
<p>In this article, we depend on the linear one-way repeated measurements model which is the linear mixed model which has three fixed effects and two random effects and as well as random error. To find conclusions about the one-way repeated measurements model, a Bayesian approach constructed around Markov Chain Monte Carlo is employed. We focused on studying the posterior distribution of the parameters of the repeated measurements model, as well as a comparison between the fixed and random models using the Bayes coefficient.</p>
2023-06-25T00:00:00+00:00Copyright (c) 2023 Jackson Misikohttps://royalliteglobal.com/jmes/article/view/621A new approach to co-ordinate distributed, worse-case scenario, linear quadratic optimization problems2021-10-06T16:31:56+00:00Babacar SeckFraser J. Forbes
<p>A new approach for price driven coordination, large-scale, worst-case scenario linear quadratic optimization problems is presented. The approach is based on a reformulation of the dual problem associated<br>with the centralized robust optimization problem and to modify the co-ordination scheme in order to<br>incorporate determination of the worst-case scenario. The convergence of the algorithm is proven and<br>is guaranteed when the uncertainty set, the objective function and the constraints satisfy some specic<br>properties.</p>
2021-06-26T00:00:00+00:00Copyright (c) 2021 Babacar Seck, Fraser J. Forbeshttps://royalliteglobal.com/jmes/article/view/541Influence of visuospatial models construction and usage on college students’ academic achievement in molecular and hybridization geometries in Ghana2021-07-19T19:48:01+00:00Lawrence SarpongAlexander Obiri GyampohBenjamin AidooPeter HarunaMensah Kofi
<p>This action research study examines the visual-spatial model’s effects on science students’ performance in molecular and hybridization geometries. Although the diagnostic test revealed both groups showed similar conceptual abilities and challenges, the studies’ outcome showed that the visuospatial model’s approach to teaching the molecular and hybridization geometries enhanced the student’s conceptual understanding. The visuospatial model representations allow students to learn about the abstract subject matter of disciplines’ scientific knowledge. Therefore, the use of visuospatial models in teaching enhances students' visual imaginations and thoughts about concepts.</p>
2021-06-27T00:00:00+00:00Copyright (c) 2021 ALEXANDER OBIRI GYAMPOHhttps://royalliteglobal.com/jmes/article/view/438The benefits of teaching inverse regression alongside Least Squares Regression: Deeper comparisons for undergraduate research2021-07-17T20:21:09+00:00Di GaoStephen Scariano
<p>This article is a continuation of the authors’ previously published article, later referred as “Part I”, and entitled, “The benefits of teaching inverse regression alongside Least Squares Regression: Graphical and numerical comparisons”. In Part I of this companion series, a foundational exposition comparing Inverse Regression and Least Squares Regression was undertaken using temperature data for thirty-two American cities. Deeper relationships are explored in this article (Part II of this series). The goal is to contrast the estimates provided by both regression methods using a collection of corollaries that are accessible to undergraduate mathematics and science students who have studied Least Squares Regression. Collectively, these two articles demonstrate how to purposely enhance a general discussion of Least Squares Regression.</p>
2021-02-11T00:00:00+00:00Copyright (c) 2021 Research Journal in Mathematics, Econometrics and Statisticshttps://royalliteglobal.com/jmes/article/view/499Simple epidemic peaks of Coronavirus Disease in UAE, 20202021-07-19T19:49:35+00:00Osama Rashwan
<p>In 1927, the Susceptible Infected and Recovered (SIR) Mathematical Modelling originally studied by Kermack and McKendrick (A contribution to the mathematical theory of epidemics’ in the Proceedings of the Royal Society London Ser. A), The paper became a classic in infectious disease epidemiology and has been cited innumerable times. Using the data offered by Ministry of Health and Prevention, the coefficient in the system of Ordinary Differential Equations that represent the United Arab Emirates’ SIR Mathematical Modelling of COVID-19, using Microsoft Excel, and MATLAB Software is used consequently to solve and graph the solution. The idea may be extended to be website calculator or a Mobile Application giving the Infection Rate Ro, the Contact Ratio q, and the Maximum percentage of population expected to be infected linked to the daily official data website.</p>
2021-06-25T00:00:00+00:00Copyright (c) 2021 Osama Rashwanhttps://royalliteglobal.com/jmes/article/view/25Effect of Cuisenaire Rods on Students’ Performance in Solving Problems Involving Fractions2020-06-01T15:10:39+00:00Togah Frederick Kwasi
<p>Fractions are an essential foundational skill for future mathematics success (NMAP, 2008). However, fractions have been one of the most difﬁcult mathematical skills to master, for children with and without difﬁculties (Behr, Wachsmuth, Post, & Lesh, 1984; Hiebert, 1985; McLeod & Armstrong, 1982; Ni, 2001). With this understanding, the Ghana School Curriculum for mathematics prescribes some materials to aid the teaching of mathematics concept friendlier. This study investigated the effect of Cuisenaire rods on students’ performance in solving problems involving Fractions. The sample was divided into two groups: an Experimental group (N=50) which was taught Fractions with the use of Cuisenaire rods in addition to traditional teaching methods, and a Control group (N=50), which was taught with traditional teaching methods only. The study employed descriptive statistics such as: <em>mean</em> and <em>standard deviation</em> in Ms-excel based on the test scores obtained from both the Experimental group and the Controlled group. Comparing the mean and standard deviation scores of both group indicated that, there was a significant performance in the experimental group. The study recommends to the Ministry of Education and the Curriculum Research and Development Division (CRDD) of Ghana to consider using Cuisenaire rods in Ghana Schools especially from the basic school level since they are versatile materials in teaching many concepts in mathematics.</p>
2020-01-13T00:00:00+00:00Copyright (c) 2020 Togah Frederick Kwasi