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Inside of the Linear Relation between Dependent and Independent Variables.

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  • معلومة اضافية
    • المصدر:
      Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1748-6718 (Electronic) Linking ISSN: 1748670X NLM ISO Abbreviation: Comput Math Methods Med Subsets: MEDLINE
    • بيانات النشر:
      Publication: 2011- : New York : Hindawi
      Original Publication: London : Taylor & Francis, c2006-
    • الموضوع:
      Linear Models*; Algorithms ; Computational Biology ; Humans ; Likelihood Functions ; Models, Statistical ; Quantitative Structure-Activity Relationship
    • نبذة مختصرة :
      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.
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    • الموضوع:
      Date Created: 20150624 Date Completed: 20160422 Latest Revision: 20240324
    • الموضوع:
      20240324
    • الرقم المعرف:
      PMC4458545
    • الرقم المعرف:
      10.1155/2015/360752
    • الرقم المعرف:
      26101543