Journals Information

Special Issues Information

Mathematics and Statistics  

Mathematics and Statistics is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of mathematics and statistics. As an important academic exchange platform, scientists and researchers can know the most up-to-date academic trends and seek valuable primary sources for reference.


ISSN: 2332-2071 (Print)

ISSN: 2332-2144 (Online)

Contact Us: ms.editor@hrpub.org or editor@hrpub.org

Website: https://www.hrpub.org/journals/jour_info.php?id=34


Archive

Volume 12   2024
Vol.12 No.1Vol.12 No.2Vol.12 No.3Vol.12 No.4Vol.12 No.5
Volume 11   2023
Vol.11 No.1Vol.11 No.2Vol.11 No.3Vol.11 No.4Vol.11 No.5Vol.11 No.6
Volume 10   2022
Vol.10 No.1Vol.10 No.2Vol.10 No.3Vol.10 No.4Vol.10 No.5Vol.10 No.6
Volume 9   2021
Vol.9 No.1Vol.9 No.2Vol.9 No.3Vol.9 No.4Vol.9 No.5Vol.9 No.6
Volume 8   2020
Vol.8 No.1Vol.8 No.2Vol.8 No.2AVol.8 No.3Vol.8 No.4Vol.8 No.5
Vol.8 No.6
Volume 7   2019
Vol.7 No.1Vol.7 No.2Vol.7 No.3Vol.7 No.4Vol.7 No.4AVol.7 No.5
Volume 6   2018
Vol.6 No.1Vol.6 No.2Vol.6 No.3Vol.6 No.4
Volume 5   2017
Vol.5 No.1Vol.5 No.2Vol.5 No.3Vol.5 No.4
Volume 4   2016
Vol.4 No.1Vol.4 No.2Vol.4 No.3Vol.4 No.4
Volume 3   2015
Vol.3 No.1Vol.3 No.2Vol.3 No.3Vol.3 No.4Vol.3 No.5Vol.3 No.6
Volume 2   2014
Vol.2 No.1Vol.2 No.2Vol.2 No.3Vol.2 No.4Vol.2 No.5Vol.2 No.6
Vol.2 No.7Vol.2 No.8
Volume 1   2013
Vol.1 No.1Vol.1 No.2Vol.1 No.3Vol.1 No.4

Vol 4(Feb, 2016) No 1

On the Kumaraswamy Fisher Snedecor Distribution

Adepoju, K.A, Chukwu, A.U, Shittu, O.I

[Abstract] [Full Text] [Full Article - PDF] pp. 1 - 14

DOI: 10.13189/ms.2016.040101

One-term Approximation for Normal Distribution Function

Omar Eidous, Samar Al-Salman

[Abstract] [Full Text] [Full Article - PDF] pp. 15 - 18

DOI: 10.13189/ms.2016.040102

Estimating Change Point in Single Server Queues

Sibanee Sahu, Sarat Kumar Acharya

[Abstract] [Full Text] [Full Article - PDF] pp. 19 - 26

DOI: 10.13189/ms.2016.040103

Asymptotic Solving Essentially Nonlinear Problems

Alexander D. Bruno

[Abstract] [Full Text] [Full Article - PDF] pp. 27 - 39

DOI: 10.13189/ms.2016.040104

The Constructive Implicit Function Theorem and Proof in Logistic Mixtures

Xiao Liu

[Abstract] [Full Text] [Full Article - PDF] pp. 40 - 45

DOI: 10.13189/ms.2016.040105