Scientific Data Analysis Team - February 2017
In this talk, we introduce several algorithms using singular spectrum analysis for gap filling in univariate time series. In these algorithms, the data before missing values and the data after (in the reverse order) missing values treated as two separate time series. Then using SSA forecasting, two estimations of the missing values will be provided. Finally, we combine these estimations and produce a unique estimation for missing values.
Published in SDAT News

A talk was given by the Head of the SDAT Education Department at the of the Statistics and its Aplications, Lisbon, Portugal under the title of "Bonus-Malus Systems: A Discussion of Some of the Problems". 

A Bonus-Malus System (BMS) is one of the ratemaking methods generally used in automobile insurance. BMS penalizes policyholders at faults for one or more claims by a premium surcharge, known as malus, and rewards the policyholders with a claim-free year by granting discount in the premium say bonus. An optimal BMS should be possibly fair for policyholders and financially balanced for the insurer. While much progress has been made on the development of BMS but for practical applications, many questions remain, including the reliability and efficiency of the systems. To deal with system efficiency ‘rigorously’ an open portfolio assumption must be considered. The approximation techniques proposed for this purpose are largely at a conceptual stage. In this talk, we categorize the existing BMS and then discuss the challenges in both theory and practice.

Published in SDAT News

R: Data Management Calculations and Statistical Analysis Book has been published by Dr. Javad Fardmal, associate professor of biostatistics at Hamedan university of Biomedical Sciences and Dr. Rahim Mahmoudvand, assistant professor of statisitcs at Hamedan University. This book is in Persian and contains various topics in scientific data analysis with R. The table of content is available form here and you can buy the book from here

Published in SDAT News

Workshops on Structural Equation Modeling (SEM) will be held on February 16-17, 2017 (Bahman 28-29, 1395). Dr. Mahdi Akbarzadeh, SDAT associate memebr, will be the main lecturere of the workshops. For more information, please take a look at or join the Telegram channel



Published in SDAT News

A Symposium on the Structural and Functional Brain Image Analysis in Clinical and Research Applications hold on February 28, March 1 2017 (Esfand 10,11 1395) in Bushehr, Iran.  Dr. Mohammad Ali Oghabian, the faculty memebr at Tehran University of Medical Sciences (TUMS) and the head of the Neuroimaging and Analysis Group at TUMS, Dr. Amir Hossein Batouli, Dr. Arash Zare Sadeghi and Dr. Seyed Morteza Najibi, Head of Scientific Data Analysis Team (SDAT) presented their talks in this Symposium and a workshop in fMRI neuro-imaging. 



Published in SDAT News
The 3rd Movement of Workshops on Advanced Statistical Methods in Cognitive Sciences is held on February 8, 9, 15, 16, 2017 at The Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran. For more information, please take a look at the workshops homepage on or join the workshops Telegram group through
Published in SDAT News

An specialized meeting on Data mining application in Healthcare Systems was held at  Healthcare Insurance Organization in Busheher on December 6, 2016. In this meeting, Dr. Seyed Morteza Najibi, the SDAT Leader, gave a talk under the title of "Knowledge Discovery in Healthcare Systems Using Modern Statistics".

Published in SDAT News
Thursday, 02 February 2017 11:36

MRS, Diffusion, Perfusion Workshop

Wokshops on Magnetic Resonance Spectrocopy, Perfusion and Diffusion is held on February 15-17, 1395 (Bahman 27-29, 2017). For more information, please visit the workshops homepage on or the Telegram channel
Published in SDAT News


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    Event Time: 31 December 2020 - 13:30-16:30 Central European Time (CET)

    Register for the webinar: 

    More details about this event: 

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    The best-report awards consist of a cash prize:
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    First Assessment Result: 25 Jan. 2021
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About Us

SDAT is an abbreviation for Scientific Data Analysis Team. It consists of groups who are specialists in various fields of data sciences including Statistical Analytics, Business Analytics, Big Data Analytics and Health Analytics. 

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