Hakan Demirtas

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 8

Top Topics

Data Generation

Gradient Vectors

Strongly Correlated

Top Venues

Commun. Stat. Simul. Comput.

Publications

Ran Gao, Hakan Demirtas
CorrToolBox: an package for modeling correlational magnitude transformations in discretization contexts. Commun. Stat. Simul. Comput. 53 (6) (2024)
Hakan Demirtas, R. Gao
Mixed data generation packages and related computational tools in R. Commun. Stat. Simul. Comput. 51 (8) (2022)
Hesen Li, Hakan Demirtas, Ruizhe Chen
RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data. R J. 12 (2) (2020)
Hakan Demirtas
On accurate and precise generation of generalized Poisson variates. Commun. Stat. Simul. Comput. 46 (1) (2017)
Anup Amatya, Hakan Demirtas
PoisNor: An R package for generation of multivariate data with Poisson and normal marginals. Commun. Stat. Simul. Comput. 46 (3) (2017)
Hakan Demirtas
Concurrent generation of binary and nonnormal continuous data through fifth-order power polynomials. Commun. Stat. Simul. Comput. 46 (1) (2017)
Hakan Demirtas, Donald Hedeker
Computing the Point-biserial Correlation under Any Underlying Continuous Distribution. Commun. Stat. Simul. Comput. 45 (8) (2016)
Hakan Demirtas, Robab Ahmadian, Sema Atis, Fatma Ezgi Can, Ilker Ercan
A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization. Comput. Stat. 31 (4) (2016)
Anup Amatya, Hakan Demirtas
MultiOrd: An R Package for Generating Correlated Ordinal Data. Commun. Stat. Simul. Comput. 44 (7) (2015)
Hakan Demirtas, Anup Amatya, Beyza Doganay
BinNor: An R Package for Concurrent Generation of Binary and Normal Data. Commun. Stat. Simul. Comput. 43 (3) (2014)
Recai M. Yucel, Hakan Demirtas
Impact of non-normal random effects on inference by multiple imputation: A simulation assessment. Comput. Stat. Data Anal. 54 (3) (2010)
Hakan Demirtas
On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept. Comput. Stat. Data Anal. 52 (4) (2008)
Hakan Demirtas, Donald Hedeker
Multiple Imputation Under Power Polynomials. Commun. Stat. Simul. Comput. 37 (8) (2008)
Hakan Demirtas
Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds. Commun. Stat. Simul. Comput. 36 (4) (2007)
Hakan Demirtas, Lester M. Arguelles, Hwan Chung, Donald Hedeker
On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation. Comput. Stat. Data Anal. 51 (8) (2007)