Current Issue: Vol. 7, Issue 5, September 2018
Frequency:  Bimonthly
ISSN Print:  2326-8999
ISSN Online:  2326-9006
Latest Articles
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Bereket Getachew Mamo, Markos Abiso
Pages: 188-192   Published Online: Sep. 21, 2018
DOI: 10.11648/j.ajtas.20180705.14
View  41          Downloads  7
Anthony Effiong Usoro, Eyo Awakessien Clement
Pages: 180-187   Published Online: Sep. 4, 2018
DOI: 10.11648/j.ajtas.20180705.13
View  131          Downloads  5
Nasiru Mukaila Olakorede, Samuel Olayemi Olanrewaju, Maji Yusufu Ugbede
Pages: 173-179   Published Online: Aug. 6, 2018
DOI: 10.11648/j.ajtas.20180705.12
View  243          Downloads  31
Basel Mohammad Said Al-Eideh
Pages: 167-172   Published Online: Aug. 2, 2018
DOI: 10.11648/j.ajtas.20180705.11
View  243          Downloads  29
Bezarede Mekonnen
Pages: 163-166   Published Online: Jul. 23, 2018
DOI: 10.11648/j.ajtas.20180704.15
View  354          Downloads  37
George Kemboi Kirui Keitany, Ananda Omutokoh Kube, Joseph Mutua Mutisya, Fundi Daniel Muriithi
Pages: 156-162   Published Online: Jun. 29, 2018
DOI: 10.11648/j.ajtas.20180704.14
View  473          Downloads  31
Thomas Mageto, John Motubwa
Pages: 147-155   Published Online: May 18, 2018
DOI: 10.11648/j.ajtas.20180704.13
View  700          Downloads  59
Natnael Mamuye
Pages: 139-146   Published Online: May 3, 2018
DOI: 10.11648/j.ajtas.20180704.12
View  759          Downloads  48
Research Topics
Research Topic is an innovative academic concept focusing on the hottest areas in academia, here gathered a variety of current research active areas and issues. You can browse the topics you are interested in and offer new topics for others.
Science Publishing Group Research Topic showcases your research area and contributes to the communication of academic information. If you have a new topic, please download the form and send it to us.
Research Topic #1
Computational statistics
Computational statistics, or statistical computing, is the interface between statistics and computer science. It is the area of computational science (or scientific computing) specific to the mathematical science of statistics. This area is also developing rapidly, leading to calls that a broader concept of computing should be taught as part of general statistical education.
Research Topic #2
data mining
Data mining is the computing process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.
Research Topic #3
Machine learning
Machine learning is closely related to (and often overlaps with) computational statistics, which focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining and data analysis and is known as unsupervised learning. Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.
Research Topic #4
Probability distribution
In probability theory and statistics, a probability distribution is a mathematical function that, stated in simple terms, can be thought of as providing the probabilities of occurrence of different possible outcomes in an experiment. For instance, if the random variable X is used to denote the outcome of a coin toss ('the experiment'), then the probability distribution of X would take the value 0.5 for X=heads, and 0.5 for X=tails (assuming the coin is fair).
Special Issues
Special Issue is an effective way for researchers to focus on a hot topic for an in-depth study. If you have a great topic or idea, you can propose a Special Issue and you will have the opportunity to be the Lead Guest Editor of the Special Issue. For more information, please visit:
Editorial Board
Mahammad Ahmad Nurmammadov
Department of Natural Sciences and Teaching Methods, Azerbaijan State Pedagogical University, Baku, Caucasus, Azerbaijan
Department of Statistics and Computer Sciences, Faculty of Sciences, Karadeniz Technical University, Trabzon, Turkey
Peer Reviewer
Umair Khalil
Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan
Richard Puurbalanta
Department of Statistics, University for Development Studies, Tamale, Northern Region, Ghana
School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
Xuwen Zhu
Department of Mathematics, University of Louisville, Louisville, Kentucky, USA
Daniela Rodrigues Recchia
Department of Medical Theory, Integrative and Antroposophical Medicine, University of Witten/Herdecke, Witten, North Rhine-Westphalia, Germany
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