Current Issue: Vol. 7, Issue 1, January 2018
Frequency:  Bimonthly
ISSN Print:  2326-8999
ISSN Online:  2326-9006
Latest Articles
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Edossa Merga Terefe, Zeytu Gashaw Asfaw
Pages: 8-20   Published Online: Jan. 5, 2018
DOI: 10.11648/j.ajtas.20180701.12
View  164          Downloads  17
Tonui Benard Cheruiyot, Mwalili Samuel, Wanjoya Anthony
Pages: 29-34   Published Online: Jan. 19, 2018
DOI: 10.11648/j.ajtas.20180701.14
View  18          Downloads  1
Wudneh Ketema Moges, A. R. Muralidharan, Haymanot Zeleke Tadesse
Pages: 21-28   Published Online: Jan. 9, 2018
DOI: 10.11648/j.ajtas.20180701.13
View  125          Downloads  7
Robert Kasisi, Joseph Koske, Mathew Kosgei
Pages: 1-7   Published Online: Dec. 20, 2017
DOI: 10.11648/j.ajtas.20180701.11
View  180          Downloads  27
Asrat Atsedeweyn Andargie
Pages: 335-344   Published Online: Dec. 25, 2017
DOI: 10.11648/j.ajtas.20170606.20
View  184          Downloads  8
Mustapha Abiodun Okunnu, Matthew Iwada Ekum, Oluwaseun Raphael Aderele
Pages: 325-334   Published Online: Dec. 24, 2017
DOI: 10.11648/j.ajtas.20170606.19
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Getnet Bogale Begashaw, Yordanos Berihun Yohannes, Wudneh Ketema Moges, A. R. Muralidharan
Pages: 311-324   Published Online: Dec. 23, 2017
DOI: 10.11648/j.ajtas.20170606.18
View  210          Downloads  14
Otieno-Roche Emily, Koske Joseph, Mutiso John
Pages: 303-310   Published Online: Dec. 7, 2017
DOI: 10.11648/j.ajtas.20170606.17
View  242          Downloads  21
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.
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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
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Editorial Board
Mahammad Ahmad Nurmammadov
Department of Natural Sciences and Teaching Methods, Azerbaijan State Pedagogical University (Quba Branch), Baku, Azerbaijan
Department of Statistics and Computer Sciences, Faculty of Sciences, Karadeniz Technical University, Trabzon, Turkey
Department of Statistics, Hacettepe University, Ankara, Turkey
Dheeraj Pawar
Department of Statistics, Amity Institute of Applied Sciences, Amity University, Noida, Uttar Pradesh, India
Peer Reviewer
Department of Statistics, Hacettepe University, Ankara, Turkey
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