Ranked Set Sampling: Modifications and Applications. Prof. Amer Ibrahim Al-Omari

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The South Australian Branch of the Statistical Society would like to invite you to the September meeting of the 2018 program.

Venue: Engineering & Math EM212, North Terrace, Adelaide University. Campus map is available at http://www.adelaide.edu.au/campuses/northtce/.

***Please note that most entrance doors to Adelaide University buildings close at 6pm so make sure you arrive in time for the talk.

5.30pm – Refreshments in the Lecture Theatre.
6.05pm – General Meeting Talk.
7.30 pm – A dinner will be held after the meeting at Caffe Amore, 162 Pulteney Street, Adelaide SA 5000.
Please rsvp for dinner to [email protected] by 24th Sep as we are usually unable to change the booking numbers at the last minute.

INTERNATIONAL SPEAKER: Prof. Amer Ibrahim Al-Omari

TOPIC: Ranked Set Sampling: Modifications and Applications

Professor Amer Al-Omari is a Professor of Statistics and Vice Dean of Academic Research in Al al-Bayt University, Jordan. Amer graduated in 2007 with a PhD in multistage ranked set sampling and seen has published about 100 research papers in statistics, He has recently published with Elsevier a text (co-authored with Bouza) on Ranked Set Sampling. [Al-Omari, A.I., and Bouza, C.N. (2018). Ranked Set Sampling, Elsevier]. Prof Al-Omari has an extensive and expressive experience in mathematical and statistical education at the undergraduate and postgraduate levels and graduated three MSc research students. Prof Al-Omari is an elected member of the International Statistical Institute, and a member of the Union of Arab Statisticians. He is an associate editor for the Journal of Applied Probability and Statistics and on editorial boards for the Electronic Journal of Applied Statistical Analysis, Revista Investigacin Operacional and International Journal of Algebra and Statistics. Prof Al-Omari’s research interests are in statistical sampling, statistical quality control and applied statistic.

The ranked set sampling (RSS) was first suggested by McIntyre (1952) for mean estimation as efficient method compared to the well-known simple random sampling (SRS) method. Various modifications of the usual RSS since 1952 are suggested to estimate the population parameters with some applications. This talk will be about the RSS and multistage extreme ranked set sampling (MERSS) methods (Jemain et al. 2007) in estimating the population mean.

Feel free to forward this meeting notice to colleagues, all welcome.

Aarti Gulyani
SA Branch
Statistical Society of Australia
Phone: 08 8128 4754




Ranked Set Sampling: Modifications and Applications. Prof. Amer Ibrahim Al-Omari
When: 26/09/2018
Time: 5:30 pm - 7:00 pm
Cost: Free
Location: Room EM212, Engineering and Maths,
University of Adelaide, North terrace,
South Australia

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