Pure and Applied Mathematics Journal

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Volume 10, Issue 6, December 2021

  • New Innovative Method in the Field of Social Choice Theory

    Zoïnabo Savadogo, Sougoursi Jean Yves Zaré, Wambie Zongo, Somdouda Sawadogo, Blaise Somé

    Issue: Volume 10, Issue 6, December 2021
    Pages: 121-126
    Received: 22 October 2021
    Accepted: 19 November 2021
    Published: 27 November 2021
    DOI: 10.11648/j.pamj.20211006.11
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    Abstract: Social choice theory includes the study of voting methods. In the literature on social choice theory many methods exist, the main objective of all these methods is the determination of a good method. However, many of these methods give controversial results which often lead to disputes. It should also be noted that sometimes, regardless of the meth... Show More
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  • Fitting Spatial Joint Model for U.S Regional Influenza-like Illness (ILINet) Data Set

    Azizur Rahman, Arifa Tabassum, Mariam Akter

    Issue: Volume 10, Issue 6, December 2021
    Pages: 127-138
    Received: 25 October 2021
    Accepted: 13 November 2021
    Published: 29 December 2021
    DOI: 10.11648/j.pamj.20211006.12
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    Abstract: Background: Influenza is commonly known as the flu, which is a viral infectious disease that attacks our respiratory systems, such as the nose, throat, and lungs. Several studies have been performed on influenza determinants, concentrating on the role of biological and behavioral risk factors at the personal level to reduce the burden of the diseas... Show More
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  • A Modified Breusch–Pagan Test for Detecting Heteroscedasticity in the Presence of Outliers

    Bolakale Abdul-Hameed, Oyeyemi Gafar Matanmi

    Issue: Volume 10, Issue 6, December 2021
    Pages: 139-149
    Received: 1 November 2021
    Accepted: 26 November 2021
    Published: 29 December 2021
    DOI: 10.11648/j.pamj.20211006.13
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    Abstract: Heteroscedasticity is a problem that arises in regression analysis for a variety of causes. This problem impacts both the estimation and test procedures and it is therefore critical to be able to detect the problem and address it. The presence of outliers is a regular occurrence in data analysis and the detection of heteroscedasticity in the presen... Show More
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