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Abstract

A quantitative structure-property relationship (QSPR) model was developed for prediction of polarizability of phenol derivatives. In this study we have attempted to develop a multiple linear regression (MLR) model with high accuracy and precision. For this first we prepared several models and then validated by statistical parameters like Q factor, LSE, etc. and proposed a model which have better prediction power of prediction of polarizability.

Keywords

Polarizability QSAR QSPR Q factor Predictive error Predictive square error Uncertainty of prediction

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How to Cite
Dixit, S., & K. Sikarwar, A. (2017). Studies of Polarizability of Phenol and its Derivatives Using Computational Methods. Asian Journal of Organic & Medicinal Chemistry, 2(4), 134–137. https://doi.org/10.14233/ajomc.2017.AJOMC-P76
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