[id] => 52
[recorddate] => 2007:01:14:15:08:00
[lastupdate] => 2007:01:14:15:08:00
[type] => conference
[place] => Gabrovo, Bulgaria
[subject] => chemistry - inorganic; chemistry - physical; mathematics - statistics; research - methodology
[relatedworks] =>
• 4 (some):
  • The effect of leverage and influential on structure-activity relationships, ?id=265
[file] => ?f=52
[mime] => application/pdf
[size] => 296136
[pubname] => UNITECH'03 International Scientific Conference
[pubinfo] => Technical University of Gabrovo
[pubkey] => ISBN 954-683-167-0
[workinfo] => 2003, p. 263-266, November 21-22
[year] => 2003
[title] => Coals analysis by sample study
[authors] => Lorentz JÄNTSCHI, Elena M. PICĂ
[abstract] =>
A statistical study of analysis results was made for lignite from the Fărcăşeşti area (Gorj County, Romania), exemplified for the eight characteristic properties, as moisture content (imbibitions and hygroscopic), volatile, density, sulfur, ash softening content, higher heating value and seam. Previously, the properties dependencies were investigate in pairs of two. In present study the properties was investigated using an automat processing routine for multivariate regression, available at address:
http://vl.academicdirect.ro/applied_statistics/linear_regression/multiple/v1.5/
The program is capable to identify multiple dependencies between given properties. Few significant results were obtained, that make possible to simplify analysis procedure of coals by reducing number of determinations and/or measured properties. All equations are made for predicting heating value Qsi from other measured properties excluding fixed carbon content Cfi. Present article is focused on identifying dependencies between Wii, Whi, Vi, Sti, Qsi, ti, ro and seam (see text). Application of the model among others at prospecting new coalfields and coal conversion, can contribute to the reduction of drilling and analysis costs.
[keywords] => Coal analysis; Regression models; Software implementation study