Seminar on Sunday, 21 October 2018 at 2 pm
Title: Joint Modeling of Longitudinal Response and Time-To-Event Data Using Conditional Distributions: A Bayesian Perspective Speaker: Arindom Chakraborty, PhD Assistant Professor Department of Statistics Visva-Bharati University, India Abstract: Over last twenty or more years a lot
Orientation Program of the 25th Batch is on January 10, 2019
isrt seminar roomOrientation Program of the 25th Batch, to be held tomorrow (Thursday, January 10, 2019) at 9:30 a.m. at the seminar room.
Seminar on 15 January Tuesday at 2 pm
Title: Long-run relationship between the unemployment rate and the trade balance in the United States: an empirical analysis Speaker: Haydory Akbar Ahmed Missouri State University Department of Economics, 901 S National Avenue
ISRT Picnic 2019
ISRT annual picnic will be held on February 12, 2019.
SPSS and Stata training
ISRT offers training programs on Applied Statistics using SPSS and Applied Statistics using Stata on a regular basis. These programs aim at training the participants a basic idea of statistics at the same time
Seminar on Tuesday, 30th July 2019 from 2:00-3:00 pm
Title: Optimum designs for multiple objectives Speaker: Mahbub Latif, PhD Professor, ISRT University of Dhaka Venue: ISRT Seminar Room Abstract: TBA
PhD seminar talk on August 27 at 2pm
isrt seminar roomTitle: Improved Statistical Approach for Climate Projection over Bangladesh using Downscaling of Global Climate Model (GCM) Outputs Speaker: Md. Bazlur Rashid Abstract: Global Climate Model (GCM) has evolved from the
R training program starts on September 24, 2019
The upcoming R training program begins on September 24, 2019. For further details (program schedule, registration etc.) please click on the link https://www.isrt.ac.bd/training/r/.
PhD seminar talk on Tuesday, December 3, 2019 at 2pm
Title: Modified Inferential Methods on Restricted Parameters in Multivariate Regression Analysis: Applications in Socio-demographic Research Speaker: Sheikh Mohammad Sayem, PhD researcher at ISRT, DU Abstract: Efficient and significant empirical estimate of the multivariate
