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Inside of the Linear Relation between Dependent and Independent Variables
Joint Authors
Jäntschi, Lorentz
Pruteanu, Lavinia L.
Cozma, Alina C.
Bolboacă, Sorana D.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Jäntschi, Lorentz& Pruteanu, Lavinia L.& Cozma, Alina C.& Bolboacă, Sorana D.. 2015. Inside of the Linear Relation between Dependent and Independent Variables. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057875
Modern Language Association (MLA)
Jäntschi, Lorentz…[et al.]. Inside of the Linear Relation between Dependent and Independent Variables. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057875
American Medical Association (AMA)
Jäntschi, Lorentz& Pruteanu, Lavinia L.& Cozma, Alina C.& Bolboacă, Sorana D.. Inside of the Linear Relation between Dependent and Independent Variables. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057875
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057875