inside of the linear relation between dependent and independent variables

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ID: 130654
2015
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Abstract
Simple and multiple linear regression analyses are statistical methods used to investigate the link between activity/property of active compounds and the structural chemical features. One assumption of the linear regression is that the errors follow a normal distribution. This paper introduced a new approach to solving the simple linear regression in which no assumptions about the distribution of the errors are made. The proposed approach maximizes the probability of observing the event according to the random error. The use of the proposed approach is illustrated in ten classes of compounds with different activities or properties. The proposed method proved reliable and was showed to fit properly the observed data compared to the convenient approach of normal distribution of the errors.
Reference Key
jntschi2015computationalinside Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Lorentz Jäntschi;Lavinia L. Pruteanu;Alina C. Cozma;Sorana D. Bolboacă
Journal advanced functional materials
Year 2015
DOI
10.1155/2015/360752
URL
http://dx.doi.org/10.1155/2015/360752
Keywords
medical informatics computer applications to medicine

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