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Anam Iqbal

HDR Student
MPhil in Statistics, Allama Iqbal Open University, Pakistan, 2016 MSc in Statistics, University of Sargodha, Pakistan, 2010
UNSW Canberra
School of Science

Research areas

Statistical Machine learning, Applied Statistics, Statistical Process Control and Monitoring, Big data and Artificial Intelligence, High Dimensional Analysis, Data Mining, Generalized Linear Modelling
Email

anam.iqbal@unsw.edu.au

Location

Building 26

Mahmood T; Riaz M; Iqbal A; Mulenga K, 2022, ‘An Improved Statistical Approach to Compare Means’, AIMS Mathematics, 8(2), 4596-4629,

Iqbal A; Mahmood T; Nazir H Z; Chakraborty N, 2022, ‘On the improved generalized linear model-based monitoring methods for Poisson distributed processes’, Concurrency and Computation Practice and Experience, 34(11), e6889,

Iqbal A; Mahmood T; Ali Z; Riaz M, 2022, ‘On enhanced GLM-based monitoring: an application to additive manufacturing process’, Symmetry, 14(1), 122,

Iqbal A; Haq W; Mahmood T; Raza S H, 2021, ‘Effect of meteorological factors on the COVID-19 cases: a case study related to three major cities of the Kingdom of Saudi Arabia’, Environmental Science and Pollution Research, 29, 21811-21825,

Mahmood T; Iqbal A; Abbasi S A; Amin M, 2021, ‘Efficient GLM-based control charts for Poisson processes’, Quality and Reliability Engineering International, 38(1), 389-404,

Iqbal K; Moeen M; Ali A; Iqbal A, 2020, ‘Mixture regression cum ratio estimators of population mean under stratified random sampling’, Journal of Statistical Computation and Simulation, 90(5), 854-868,

Awarded a Gold Medal-2016 for securing the first position in MPhil Statistics programme of the Department of Statistics in convocation 2024 of Allama Iqbal Open University.

Awarded a Bronze Medal-2010 for securing the third position in MSc Statistics programme of the Department of Statistics in convocation 2013 of University of Sargodha.

Mahmood T; Iqbal A; Kinat S, 2021, On the comparison of GLM-based charts for industrial processes presented in the 4th International Conference on Econometrics and Statistics (EcoStat 2021) held on 24-26 June 2021 virtually from the Hong Kong University of Science and Technology, Hong Kong. 

Iqbal A; Ahmad B, 2016, Goodness-of-fit statistics for generalized linear models presented in the 1st UMT International Conference on Pure and Applied Science in collaboration with Brock University, Canada, International Islamic University, Malaysia and Sharjah University, UAE held on 5-7 March 2016 in University of Management and Technology, Lahore, Pakistan