Applied Mathematics and Computational Intelligence (AMCI)

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https://hdl.handle.net/20.500.14170/364
AMCI is peer-reviewed and published as an online open-access journal as well as in printed copy. The journal welcomes original and significant contributions in the area of applied mathematics and computational intelligence. It emphasises on empirical or theoretical foundations, or their applications to any field of investigation where mathematics and computational intelligence techniques are used. The journal is designed to meet the needs of a wide range of mathematicians, computer scientists and engineers in academic or industrial research.

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Browsing Applied Mathematics and Computational Intelligence (AMCI) by Subject "ANOVA"
  • Publication
    A family of third order iterative methods for solving nonlinear equations free of second derivative
    ( 2022-12)
    Muhammad Shakur Ndayawo
    ;
    Babangida Sani
    In this paper, we proposedand analysed a family of iterative methods for solving nonlinearproblems. The methods have been developed by applying Adomian decomposition method to Taylor’s series expansion. Using one-way ANOVA, the methods are compared with other existing methods in terms of number of iterations and solution to convergence between the individual methods used. Numerical examples are used in the comparison to justify the efficiency of the new iterative methods.
      11  1
  • Publication
    Modification of ANOVA with various types of means
    ( 2019-12)
    Nur Farah Najeeha Najdi
    ;
    Nor Aishah Ahad
    In calculating mean equality for two or more groups, Analysis of Variance (ANOVA) is a popular method.Following the normality assumption, ANOVA is a robust test.A modification to ANOVA is proposed to test the equality of population means. The suggested research statistics are straightforward and are compatible with the generic ANOVA statistics whereby the classical mean is supplemented by other robust meanssuch as geometric mean, harmonic mean, trimean and also trimmed mean. The performance of the modified ANOVAs is then compared in terms of the Type I errorin the simulation study. The modified ANOVAs are then appliedon real data. The performance of the modified ANOVAs is then compared with the classical ANOVA test in terms of Type I error rate. This innovation enhances the ability of modified ANOVAs to provide good control of Type I error rates. In general, the results were in favor of the modified ANOVAs especially ANOVATand ANOVA.
      1  3
  • Publication
    Treatment of O3 with Na2S2O8 by ANOVA Interpretation towards degradation of azo dye
    ( 2018-12)
    Noor Ashikin Mohd Razali
    ;
    Che Zulzikrami Azner Abidin
    ;
    Ong Soon An
    ;
    Fahmi Muhammad Ridwan
    ;
    Abdul Haqi Ibrahim
    ;
    S. N. Sabri
    ;
    S.H. Kow
    ;
    S.A. Malik
    Advanced oxidation processes (AOPs) especially ozonation method is widely studied in the wastewater treatmentfield. In this study, it highlighted about threemainenvironmental issues in the world such as1) proposing a method to overcome uncontrollable effluents from textile industriesby using syntheticdyes; 2)creating an improvementof previous conventional method; 3) reduced process time by using statistical approach.To address with this issue, analysis of variance (ANOVA)from Response Surface Methodology (RSM)to study the performance of O3with the help of persulfate (Na2S2O8) for treating one of azo dyes which is Reactive Green 19.This is due to there isvery limited work done by statistical analysis on this study. Hence, ANOVA data would proposestatistical models tailored to the data in 2D and 3D contour plots by knowing the three influenced parameterswhich is pH(6 to 10),persulfate concentration (30to 70mM) and contact time (4 to 20 min). Through the analysis, the result can be concluded that improvement of ozonation process with persulfate (Na2S2O8) werestatistically significant after allinteractive effectsgave a positive feedback towards responses.The obtained optimum conditions included a persulfate concentration (49mM), initial pH (8.89) and contact time (18 min) with fixed initial concentration 100mg/L. The experimental results were corresponded well with predicted models colour removal rates which is 99%.
      22  18