American Journal of Applied Mathematics and Statistics
http://www.sciepub.com/journal/AJAMS
American Journal of Applied Mathematics and Statistics is a peer-reviewed, open access journal that publishes original research articles and review articles in all areas of applied mathematics and statistics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of applied mathematics and statistics.Science and Education Publishingen2013 Science and Education Publishing Co. Ltd All rights reserved.American Journal of Applied Mathematics and Statistics
4
4
January 2016
2013 Science and Education Publishing Co. Ltd All rights reserved.
Statistical Model of Polydisperse Fuel Spray in Three Dimensional Space
http://pubs.sciepub.com/ajams/4/4/1
which provides a way to control the convergence region and the rate of convergence of the series solutions.]]>
Ophir Nave
2016-7-11Science and Education Publishing2016-7-11449910710.12691/ajams-4-4-1
Covariance Structure Modeling of Academic Performance on Mathematics Students in South-Western Nigerian Polytechnics
http://pubs.sciepub.com/ajams/4/4/2
Olusegun Adelodun
2016-7-21Science and Education Publishing2016-7-214410811210.12691/ajams-4-4-2
Applying the Successive Over-relaxation Method to a Real World Problems
http://pubs.sciepub.com/ajams/4/4/3
Ax=b, where A is a nn matrix and b and n1 vector, can sometime be a daunting task because solving for x can be difficult. If you were given an algorithm that was efficient, that’s great! What if you could make it solve the problem even faster? That’s even better. We will first take a look at establishing the basics of the successive over-relaxation method (SOR for short), then we’ll look at a real-world problem we applied the SOR method to, solving the heat-equation when a constant boundary temperature is applied to a flat plate.]]>
T. Mayooran, Elliott Light
2016-8-13Science and Education Publishing2016-8-134411311710.12691/ajams-4-4-3
Arma Type Modeling of Certain Non-stationary Time Series in Calabar
http://pubs.sciepub.com/ajams/4/4/4
12 for passengers’ traffic and ARMA (1,0,1) x (1,1,2)_{12} for tuberculosis cases and forecasts was done for 12 months for the two series. The adequacy of the model was achieved and model fit for passengers traffic yields R-square, RMSE and MAPE of 0.876, 9.137, and 27.479 respectively and for tuberculosis cases yields R-square, RMSE and MAPE of 0.614, 6.785 and 26.522 respectively, recommendation and conclusion was made for the area of study.]]>
B.O. EKPENYONG
2016-8-22Science and Education Publishing2016-8-224411812510.12691/ajams-4-4-4