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SAR and QSAR in Environmental Research Volume 29, 2018 - Issue 5
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Articles

A penalized quantitative structure–property relationship study on melting point of energetic carbocyclic nitroaromatic compounds using adaptive bridge penalty

A. M. Al-FakihFaculty of Science, Department of Chemistry, Universiti Teknologi Malaysia, Johor, Malaysia;Faculty of Science, Department of Chemistry, Sana’a University, Sana’a, YemenCorrespondence[email protected]
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Z. Y. AlgamalDepartment of Statistics and Informatics, University of Mosul, Mosul, Iraq
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M. H. LeeFaculty of Science, Department of Mathematical Sciences, Universiti Teknologi Malaysia, Johor, MalaysiaORCID Iconhttp://orcid.org/0000-0002-3700-2363
ORCID Icon &
M. AzizFaculty of Science, Department of Chemistry, Universiti Teknologi Malaysia, Johor, Malaysia;Advanced Membrane Technology Centre, Universiti Teknologi Malaysia, Johor, MalaysiaCorrespondence[email protected]
Pages 339-353 | Received 02 Dec 2017, Accepted 07 Feb 2018, Published online: 01 Mar 2018

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Cigdem Kosar Tas, Huseyin Guler & Yeliz Yalcin. (2022) The usage of bridge estimator to determine the order of integration for possibly integrated series as an alternative to Dickey–Pantula unit root test. Communications in Statistics - Simulation and Computation 0:0, pages 1-17.
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Articles from other publishers (6)

M. Lotfi, M. Arab Chamjangali & Z. Mozafari. (2023) Ridge regression coupled with a new uninformative variable elimination algorithm as a new descriptor screening method: Application of data reduction in QSAR study of some sulfonated derivatives as c-Met inhibitors. Chemometrics and Intelligent Laboratory Systems 232, pages 104714.
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Zeinab Mozafari, Mansour Arab Chamjangali, Mohammad Arashi & Nasser Goudarzi. (2022) QSRR models for predicting the retention indices of VOCs in different datasets using an efficient variable selection method coupled with artificial neural network modeling: ANN-based QSPR modeling. Journal of the Iranian Chemical Society 19:6, pages 2617-2630.
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Mohammad Arashi, Adewale F. Lukman & Zakariya Y. Algamal. (2022) Liu regression after random forest for prediction and modeling in high dimension. Journal of Chemometrics 36:4.
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Yunhao Xie, Yijing Liu, Renling Hu, Xu Lin, Jing Hu & Xuemei Pu. (2021) A property-oriented adaptive design framework for rapid discovery of energetic molecules based on small-scale labeled datasets. RSC Advances 11:41, pages 25764-25776.
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Tengyi Zhu, Wenxuan Chen, Rajendra Prasad Singh & Yanran Cui. (2020) Versatile in silico modeling of partition coefficients of organic compounds in polydimethylsiloxane using linear and nonlinear methods. Journal of Hazardous Materials 399, pages 123012.
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Zakariya Yahya Algamal. (2018) A new method for choosing the biasing parameter in ridge estimator for generalized linear model. Chemometrics and Intelligent Laboratory Systems 183, pages 96-101.
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