A new improved Liu estimator for the QSAR model with inverse Gaussian response-Reference-Cited by-同舟云学术

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A new improved Liu estimator for the QSAR model with inverse Gaussian response

Published:2022-04-07 Issue: Volume: Page:1-16
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Akram Muhammad Nauman¹^ORCID,Amin Muhammad¹^ORCID,Kibria B. M. Golam²^ORCID,Arashi Mohammad³^ORCID,Lukman Adewale F.⁴^ORCID,Afzal Nimra⁵

Affiliation:

1. Department of Statistics, University of Sargodha, Sargodha, Pakistan

2. Department of Mathematics and Statistics, Florida International University, Miami, Florida, USA

3. Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Iran

4. Department of Physical Sciences, Landmark University, Omu-Aran, Nigeria

5. Department of Statistics, Bahauddin Zakariya University Multan, Pakistan

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2059088

Reference47 articles.

1. A new Liu-type estimator for the Inverse Gaussian Regression Model

2. Two-parameter estimator for the inverse Gaussian regression model

3. A new Liu-type estimator for the Inverse Gaussian Regression Model

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Liu Estimator Used to Combat Some Challenges in Partially Linear Regression Model by Improving LTS Algorithm Using Semidefinite Programming;Mathematics;2024-09-09

2. Two‐step hybrid modeling for variable selection and estimation: An application to quantitative structure activity relationship study;Journal of Chemometrics;2023-10-23

3. Robust-stein estimator for overcoming outliers and multicollinearity;Scientific Reports;2023-06-05

4. Extending the Liu estimator for the Cox proportional hazards regression model with multicollinearity;Communications in Statistics - Simulation and Computation;2023-04-12

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