Current Issue: Vol. 6, Issue 5, September 2017
Frequency:  Bimonthly
ISSN Print:  2326-8999
ISSN Online:  2326-9006
Latest Articles
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Ayoola Femi Joshua
Pages: 248-253   Published Online: Sep. 18, 2017
DOI: 10.11648/j.ajtas.20170605.14
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Robert Muriungi Gitunga, Joseph Kipsigei Koske, Johnstonne Mutiso Muindi
Pages: 236-247   Published Online: Sep. 8, 2017
DOI: 10.11648/j.ajtas.20170605.13
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Ogunde Adebisi Ade, Fatoki Olayode, Ajayi Bamidele
Pages: 228-235   Published Online: Sep. 4, 2017
DOI: 10.11648/j.ajtas.20170605.12
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Miao Gao
Pages: 221-227   Published Online: Sep. 4, 2017
DOI: 10.11648/j.ajtas.20170605.11
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Yahaya Haruna U., Abdulkarim Muhammad
Pages: 214-220   Published Online: Jul. 26, 2017
DOI: 10.11648/j.ajtas.20170604.18
View  249          Downloads  33
Montasir Ahmed Osman Mohamed
Pages: 209-213   Published Online: Jul. 10, 2017
DOI: 10.11648/j.ajtas.20170604.17
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Eugene C. Ukaegbu, Polycarp E. Chigbu
Pages: 205-208   Published Online: Jul. 10, 2017
DOI: 10.11648/j.ajtas.20170604.16
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Dechasa Bedada
Pages: 198-204   Published Online: Jul. 7, 2017
DOI: 10.11648/j.ajtas.20170604.15
View  725          Downloads  50
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: http://www.sciencepublishinggroup.com/info/specialissuesservice
Special Issue #1
Lead Guest Editor: Khairia El-Nadi
Mathematical Statistics Faculty, Science Alexandria University,
Submission Deadline: Jul. 30, 2017
Editorial Board
Department of Statistics, Hacettepe University, Ankara, Turkey
Dheeraj Pawar
Department of Statistics, Amity Institute of Applied Sciences, Amity University, Noida, Uttar Pradesh, India
Kasani Prudhvi
Department of Mathematics, University College of Science, Osmania University, Hyderabad, Telangana, India
Esam Mahdi
Department of Mathematics, Islamic University of Gaza, Gaza, Palestinian Territories
Peer Reviewer
Department of Statistics, Hacettepe University, Ankara, Turkey
Dheeraj Pawar
Department of Statistics, Amity Institute of Applied Sciences, Amity University, Noida, Uttar Pradesh, India
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