Lorentz JÄNTSCHI (lori) works ?id=197
- [id] => 197
- [recorddate] => 2010:11:07:13:00:49
- [lastupdate] => 2010:11:07:13:00:49
- [type] => article
- [place] => Cluj-Napoca, Romania
- [subject] => mathematics - applied; mathematics - modeling; mathematics - statistics; medicine - informatics
- [relatedworks] =>
- 2 (average):
- Analysis of collagen type I chains, ?id=183

- [file] => ?f=197
- [mime] => application/pdf
- [size] => 237600
- [pubname] => BUASVMCN. Horticulture
- [pubinfo] => AcademicPres
- [pubkey] => ISSN 1843-5254, eISSN 1843-5394
- [workinfo] => 66(2): 698-705
- [year] => 2009
- [title] => Distribution fitting 3. Analysis under normality assumption
- [authors] => Sorana D. BOLBOACĂ, Lorentz JÄNTSCHI
- [abstract] =>

Four sets of experimental data were investigated in terms of normal distribution and presence of outliers. The following sets of compound were investigated: blood-brain barrier partitioning (n=105), inhibitory activity of para-substituted aromatic sulfonamides (n=47), inhibition activity of taxoids (n=63), and estrogen receptor binding affinity of triphenilacrylonitriles (n=25). The normality of experimental data was tested using the following tests: Jarque-Bera, Kormogorov-Smirnov, Anderson-Darling, Chi Square and Shapiro-Wilk. The Grubbs’ test was applied for identification of outliers. The inhibitory activity of taxoids proved to be single set of compounds normal distributed according to all applied normality tests. A proper structure-activity relationships analysis must be conducted on the sample of 98 blood-brain barrier partitioning compounds, on the sample of 34 para-substituted aromatic sulfonamides, and on the sample of 22 estrogen receptor binding affinity of triphenilacrylonitriles.
- [keywords] => Normal distribution; Tests; Outlier; Grubbs’ test
- [acknowledgment] => Financial support is gratefully acknowledged to UEFISCSU Romania (ID0458/206/01.10.2007).