Hakan Demirtas

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2024 J jnl
CorrToolBox: an package for modeling correlational magnitude transformations in discretization contexts.
Commun. Stat. Simul. Comput.
Ran Gao, Hakan Demirtas
2022 J jnl
Mixed data generation packages and related computational tools in R.
Commun. Stat. Simul. Comput.
Hakan Demirtas, Ran Gao
2020 J jnl
RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data.
R J.
Hesen Li, Hakan Demirtas, Ruizhe Chen
2017 J jnl
Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials.
Commun. Stat. Simul. Comput.
Hakan Demirtas
2017 J jnl
On accurate and precise generation of generalized Poisson variates.
Commun. Stat. Simul. Comput.
Hakan Demirtas
2017 J jnl
PoisNor: An R package for generation of multivariate data with Poisson and normal marginals.
Commun. Stat. Simul. Comput.
Anup Amatya, Hakan Demirtas
2016 J jnl
A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization.
Comput. Stat.
Hakan Demirtas, Robab Ahmadian, Sema Atis, Fatma Ezgi Can, Ilker Ercan
2016 J jnl
Computing the Point-biserial Correlation under Any Underlying Continuous Distribution.
Commun. Stat. Simul. Comput.
Hakan Demirtas, Donald Hedeker
2015 J jnl
MultiOrd: An R Package for Generating Correlated Ordinal Data.
Commun. Stat. Simul. Comput.
Anup Amatya, Hakan Demirtas
2014 J jnl
BinNor: An R Package for Concurrent Generation of Binary and Normal Data.
Commun. Stat. Simul. Comput.
Hakan Demirtas, Anup Amatya, Beyza Doganay
2010 J jnl
Impact of non-normal random effects on inference by multiple imputation: A simulation assessment.
Comput. Stat. Data Anal.
Recai M. Yucel, Hakan Demirtas
2008 J jnl
Multiple Imputation Under Power Polynomials.
Commun. Stat. Simul. Comput.
Hakan Demirtas, Donald Hedeker
2008 J jnl
On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept.
Comput. Stat. Data Anal.
Hakan Demirtas
2007 J jnl
On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation.
Comput. Stat. Data Anal.
Hakan Demirtas, Lester M. Arguelles, Hwan Chung, Donald Hedeker
2007 J jnl
Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds.
Commun. Stat. Simul. Comput.
Hakan Demirtas