Current Issue: Vol. 8, Issue 1, January 2019
Frequency:  Bimonthly
ISSN Print:  2326-8999
ISSN Online:  2326-9006
Latest Articles
View All  
Wafula Mike Erick, Samson Wangila Wanyonyi, Chris Muchwanju
Pages: 7-17   Published Online: Feb. 21, 2019
DOI: 10.11648/j.ajtas.20190801.12
View  30          Downloads  17
Noora Shrestha
Pages: 18-25   Published Online: Mar. 6, 2019
DOI: 10.11648/j.ajtas.20190801.13
View  16          Downloads  77
Alassane Aw, Emmanuel Nicolas Cabral
Pages: 1-6   Published Online: Jan. 24, 2019
DOI: 10.11648/j.ajtas.20190801.11
View  64          Downloads  44
Udokang Anietie Edem, Ugwuowo Fidelis Ifeanyi
Pages: 247-255   Published Online: Jan. 10, 2019
DOI: 10.11648/j.ajtas.20180706.18
View  76          Downloads  36
William Henry Laverty, Ivan William Kelly
Pages: 242-246   Published Online: Dec. 18, 2018
DOI: 10.11648/j.ajtas.20180706.17
View  115          Downloads  33
Cheruiyot Chepkeitany Joseph, Waititu Anthony, Wanjoya Anthony
Pages: 235-241   Published Online: Nov. 6, 2018
DOI: 10.11648/j.ajtas.20180706.16
View  323          Downloads  38
Belayneh Debasu Kelkay, Kassaye Wudu Seid
Pages: 229-234   Published Online: Nov. 6, 2018
DOI: 10.11648/j.ajtas.20180706.15
View  286          Downloads  48
Miao Gao, Walter Leite, Jinxiang Hu
Pages: 222-228   Published Online: Nov. 1, 2018
DOI: 10.11648/j.ajtas.20180706.14
View  411          Downloads  41
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
Esam Mahdi
Department of Mathematics, Islamic University of Gaza, Gaza, Palestinian Territories
Mahammad Ahmad Nurmammadov
Department of Natural Sciences and Teaching Methods, Azerbaijan State Pedagogical University, Baku, Caucasus, Azerbaijan
Peer Reviewer
Magda Haggag
Department of Statistics, Damanahour University, Alexandria, Ad Daqahllyah, Egypt
Zohreh Pakdaman
Department of Statistics, School of Science, University of Hormozgan, Mashhad, Khorasan, Iran
Dr. Dennis K. Muriithi
Department of Physical Science (Applied statistics), Chuka University, Chuka, Kenya
Hager Ahmad
Department of Statistics, AL-Azhar University, Cairo, Nasr City, Egypt
Thelge Peiris
Department of Mathematical Sciences, Worcester Polytechnic Institute, Worcester, Massachusetts, USA
Browse journals by subject