Hakan Demirtas

According to our database, Hakan Demirtas authored at least 14 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

Mixed data generation packages and related computational tools in R.

Hakan Demirtas, R. Gao

Commun. Stat. Simul. Comput., 2022

2020

RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data.

Hesen Li, Hakan Demirtas, Ruizhe Chen

R J., 2020

2017

On accurate and precise generation of generalized Poisson variates.

Hakan Demirtas

Commun. Stat. Simul. Comput., 2017

Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials.

Hakan Demirtas

Commun. Stat. Simul. Comput., 2017

PoisNor: An R package for generation of multivariate data with Poisson and normal marginals.

Anup Amatya, Hakan Demirtas

Commun. Stat. Simul. Comput., 2017

2016

A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization.

Hakan Demirtas, Robab Ahmadian, Sema Atis, Fatma Ezgi Can, Ilker Ercan

Comput. Stat., 2016

Computing the Point-biserial Correlation under Any Underlying Continuous Distribution.

Hakan Demirtas, Donald Hedeker

Commun. Stat. Simul. Comput., 2016

2015

MultiOrd: An R Package for Generating Correlated Ordinal Data.

Anup Amatya, Hakan Demirtas

Commun. Stat. Simul. Comput., 2015

2014

BinNor: An R Package for Concurrent Generation of Binary and Normal Data.

Hakan Demirtas, Anup Amatya, Beyza Doganay

Commun. Stat. Simul. Comput., 2014

2010

Impact of non-normal random effects on inference by multiple imputation: A simulation assessment.

Recai M. Yucel, Hakan Demirtas

Comput. Stat. Data Anal., 2010

2008

Multiple Imputation Under Power Polynomials.

Hakan Demirtas, Donald Hedeker

Commun. Stat. Simul. Comput., 2008

On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept.

Hakan Demirtas

Comput. Stat. Data Anal., 2008

2007

Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds.

Hakan Demirtas

Commun. Stat. Simul. Comput., 2007

On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation.

Hakan Demirtas, Lester M. Arguelles, Hwan Chung, Donald Hedeker

Comput. Stat. Data Anal., 2007