Truong-Nhat Le

Nhà nghiên cứu Hồ sơ 6/10

11 công bố · 41 trích dẫn · h-index 4

Thông tin

🏛️Nơi công tác: Trường Đại học Tôn Đức Thắng
🔬Lĩnh vực: Toán học
🆔ORCID: 0000-0002-1022-1144
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present20 trích dẫn
Mathematics · 2023 · DOI

Prediction of a Sensitive Feature under Indirect Questioning via Warner’s Randomized Response Technique and Latent Class Model6 trích dẫn
Mathematics · 2023 · DOI

Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods6 trích dẫn
Computational Statistics · 2022 · DOI

Investigating the Association of a Sensitive Attribute with a Random Variable Using the Christofides Generalised Randomised Response Design and Bayesian Methods5 trích dẫn
Journal of the Royal Statistical Society Series C (Applied Statistics) · 2022 · DOI

Bayesian assessment of the relationship between a sensitive attribute collected via a generalized randomized response technique and a multivariate auxiliary variable2 trích dẫn
Statistics · 2025 · DOI

Large-sample properties of multiple imputation estimators for parameters of logistic regression with covariates missing at random separately or simultaneously2 trích dẫn
Annals of the Institute of Statistical Mathematics · 2024 · DOI

Logistic regression for data acquired via two-stage generalized randomized response technique
Communication in Statistics- Theory and Methods · 2025 · DOI

Conditional distributional framework for joint modelling of a sensitive attribute and an observed variable under randomized response designs
Journal of the Royal Statistical Society Series C (Applied Statistics) · 2026 · DOI

Large-sample properties of multiple imputation estimators for parameters of logistic regression with covariates missing at random separately or simultaneously
arXiv (Cornell University) · 2023 · DOI

Goodness-of-fit test for logistic regression for sensitive data collected via randomized response techniques
Metrika · 2026 · DOI

Về lĩnh vực Toán học

1.789học giả

30.127công bố

381.053trích dẫn

4.2h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Composite Structure Analysis and OptimizationAdvanced machining processes and optimizationAdvanced Mathematical Modeling in EngineeringOptimization and Variational AnalysisNonlinear Differential Equations AnalysisStability and Controllability of Differential Equations

Nơi có nhiều học giả lĩnh vực này nhất: