Lorentz JÄNTSCHI (lori) works ?id=20
- [id] => 20
- [recorddate] => 2007:01:14:13:26:36
- [lastupdate] => 2007:01:14:13:26:36
- [type] => article
- [place] => Cluj-Napoca, Romania
- [subject] => mathematics - algebra; mathematics - modeling; mathematics - statistics
- [relatedworks] =>
- 2 (average):
- A formula for vertex cuts in b-trees, ?id=170

- 4 (some):
- Shannon's entropy usage as statistic, ?id=289

- [file] => ?f=20
- [mime] => application/pdf
- [size] => 197442
- [pubname] => International Conference on Quality Control, Automation and Robotics
- [pubinfo] => Mediamira
- [pubkey] => ISBN 973-9357-10-3
- [workinfo] => 1, p. 194-199, May 23-25
- [year] => 2002
- [title] => Correlations and regressions with MathLab
- [authors] => Lorentz JÄNTSCHI, Mihaela L. UNGUREŞAN
- [abstract] =>

MATHLab is very useful tool for data processing, especially for numerical processing of experimental data. Statistical processing of data is first one step for finding links between measured values and/or theoretical results. Most frequent used regression models are linear-based. Value of link strength is, most frequently given by correlation coefficient r. A MATHLab computer program is implemented. The program presented demonstrates the power of MATHLab in working with statistical processing, and can be considered as an example for future applications. The program draws an exportable figure of fitted data and regression curve and calculates the correlation coefficient r and sum of residues.
- [keywords] => MATHLab; regression; correlation coefficient