Hi, I would like to know if methods for detecting outliers using interquartil ranges are indicated for data with NON normal distribution.
The software "Statistica" presents this method: data point value > UBV + o.c.*(UBV - LBV) data point value < LBV - o.c.*(UBV - LBV) where: UBV is the 75th percentile) and LBV is the 25th percentile). o.c. is the outlier coefficient. In the biological world many data are not normally distributed and tests like Rosner, Dixon and Grubbs (if I am wright ! ) are good just for normally distributed data. Does anyone can help me ? Thanks...... _____________________________________________________ Prof. J. C. Voltolini Grupo de Estudos em Ecologia de Mamiferos - ECOMAM Universidade de Taubate - Depto. Biologia Praca Marcellino Monteiro 63, Bom Conselho, Taubate, SP - BRASIL. 12030-010 TEL: 0XX12-2254165 (lab.), 2254277 (depto.) FAX: 0XX12-2322947 E-Mail: [EMAIL PROTECTED] http://www.mundobio.rg3.net/ ____________________________________________________ ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================
