M. Hasan

发表

Modelling heterogeneity in clustered count data with extra zeros using compound Poisson random effect

R. Ma, M. Hasan, G. Sneddon, 2009, Statistics in medicine.

Analysis of periodic patterns of daily precipitation through simultaneous modeling of its serially observed occurrence and amount

R. Ma, M. Hasan, G. Yan, 2014, Environmental and Ecological Statistics.

Observation-Driven Model for Zero-Inflated Daily Counts of Emergency Room Visit Data

W. Bari, M. Hasan, G. Sneddon, 2013 .

Tweedie family of generalized linear models with distribution‐free random effects for skewed longitudinal data

R. Ma, M. Hasan, G. Yan, 2018, Statistics in medicine.

Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models

M. Hasan, G. Sneddon, R. Chowdhury, 2022, Bulletin of the Malaysian Mathematical Sciences Society.

Modeling of paired zero-inflated continuous data without breaking down paired designs

Tiago R. Pellegrini, R. Ma, M. Hasan, 2017 .

A UNIFIED APPROACH BETWEEN POPULATION-AVERAGED AND CLUSTER-SPECIFIC ANALYSES FOR MULTILEVEL ZERO-INFLATED COUNT DATA

R. Ma, M. Hasan, G. Sneddon, 2013 .

Analysis of periodic patterns of daily precipitation through simultaneous modeling of its serially observed occurrence and amount

R. Ma, M. Hasan, G. Yan, 2014, Environmental and Ecological Statistics.

Two-Part Pattern-Mixture Model for Longitudinal Incomplete Semi-Continuous Toenail Data

M. Hasan, Rajibul Mian, 2012 .

Robust Correlation Structure for Multivariate Failure Time Data

Gary Sneddon, M. Tariqul Hasan, M. Hasan, 2008, Commun. Stat. Simul. Comput..

A Comparative Study of Observation- and Parameter-driven Zero-inflated Poisson Models for Longitudinal Count Data

Shahariar Huda, Gary Sneddon, M. Tariqul Hasan, 2016, Commun. Stat. Simul. Comput..

Zero-Inflated Poisson Regression for Longitudinal Data

Gary Sneddon, M. Tariqul Hasan, M. Hasan, 2009, Commun. Stat. Simul. Comput..

A State-Space Model for Bivariate Time-Series Counts with Excessive Zeros: An Application to Workplace Injury Data

R. Ma, M. Hasan, G. Sneddon, 2021, Bulletin of the Malaysian Mathematical Sciences Society.

Regression analysis of zero-inflated time-series counts: application to air pollution related emergency room visit data

R. Ma, M. Hasan, G. Sneddon, 2012 .

Pattern‐Mixture Zero‐Inflated Mixed Models for Longitudinal Unbalanced Count Data with Excessive Zeros

Gary Sneddon, R. Ma, M. Hasan, 2009, Biometrical journal. Biometrische Zeitschrift.

Markov regression model for analyzing big data to predict trajectories of repeated categorical outcomes: an application to $$\hbox {PM}_{2.5}$$ PM 2.5 air pollution data

Rafiqul I. Chowdhury, M. Tariqul Hasan, M. Hasan, 2021, Environmental and Ecological Statistics.

Modeling binomial amphibian roadkill data in distance sampling while accounting for zero-inflation, serial correlation and varying cluster sizes simultaneously

M. Hasan, G. Sneddon, Renjun Ma, 2017, Environmental and Ecological Statistics.