Dr Azizur  Rahman Author of Evaluating Organization Development
FEATURED AUTHOR

Dr Azizur Rahman

Senior Lecturer
Charles Sturt University

Azizur Rahman is a Senior Lecturer in Statistics and the Convenor of the Graduate Program in Applied Statistics at CSU. His research encompasses Statistics and Data Science including SAE, microsimulation, health, applied economics, Bayesian inference, microdata and big data analytics. He has more than 70 publications including two books. His research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the Int’l J of Microsim (IJM).

Biography

Available at https://bjbs.csu.edu.au/schools/computing-and-mathematics/staff/profiles/senior-lecturers/azizur-rahman

Areas of Research / Professional Expertise

    Statistics and Data Science

Personal Interests

    Travels, Sports, Reading, Photography

Websites

Books

Articles

Journal

Calculating confidence intervals for a spatial microsimulation model


Published: May 06, 2017 by Journal
Authors: Azizur Rahman
Subjects: Economics, Finance, Business & Industry

Findings reveal that prevalence of housing stress for private-renter, buyer, public-renter and owner households are 59.6%, 33.2%, 6.9%, and 0.3%, respectively. Almost two-thirds of these households are located in statistical local areas (SLAs) in eight capital cities, and a large number of them are in Sydney and Melbourne. Estimates for private renters and buyers are significantly high in some capitals and southeast coastal regions. About 95.7% of SLAs show accurate estimates with narrow CIs.

News

MH370 Hunters Narrow Down Most Likely Site of Wreckage

By: Dr Azizur Rahman
Subjects: Communications Studies

Angus Whitley
December 3, 2015, 10:20 AM GMT+11
 

Australian authorities hunting for Malaysia Airlines Flight 370 said they’ve narrowed down the search area for the missing plane as they seek to solve one of the biggest mysteries in modern aviation history.

New analysis of the aircraft’s flight path and satellite communications has generated a “hotspot” where the wreckage is most likely to lie, Australian Deputy Prime Minister Warren Truss said Thursday in Canberra. Investigators are now focusing on the southern end of a refined 100,000-square-kilometer (39,000-square-mile) search area, Truss said. ...

About 44,000 square kilometers of ocean still needs to be scoured and the search is expected to be completed by next June, the bureau said. The total cost is estimated at A$180 million ($132 million), including A$20 million from the Chinese government, according to Truss. ...

 

Malaysia Airlines said in a statement it welcomes “any reports that will give clarity on the tragic incident.”

 

At the heart of Bayesian analysis is the quantification of a set of uncertainties. These calculations are continually updated as new information comes in, so even unsuccessful patrols in the hunt for the missing plane can be helpful. The U.S. Coast Guard’s search and rescue teams rely on similar methodology. The theory has even been used to measure the probability of God’s existence

 

“Bayes theory can give you a hotspot based on geography,” said Azizur Rahman, a lecturer in mathematics and statistics at Charles Sturt University in New South Wales who has studied Bayes for about 15 years. “With some prior knowledge, using current data you can produce a new probability. The good thing is that it’s always updating.”

 

Grieving Families

 

Thursday’s announcement did little to mollify the bereaved families.

 

“I’m not optimistic. We’ve always demanded that all bases of calculation for the search be disclosed publicly for family members’ right to information,” Jiang Hui, a Beijing resident whose mother was on the flight, said by text message. “Now China is also spending money and we hope it can ‘buy’ some information for family members.”

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