| Título: | Robust statistics : a method of coping with outliers |
| Autores: | ROYAL SOCIETY OF CHEMISTRY |
| Tipo de documento: | texto impreso |
| Editorial: | Cambridge [REINO UNIDO] : Royal Society of Chemistry, 2001 |
| Colección: | AMC Technical Brief, num. 6 |
| ISBN/ISSN/DL: | 29712 |
| Dimensiones: | 2 p. |
| Nota general: | ISBN: |
| Langues: | Inglés |
| Clasificación: | |
| Resumen: | Robust statistics is a convenient modern way of summarising results when we suspect that they include a small proportion of outliers. Most estimates of central tendency (e.g., the arithmetic mean) and dispersion (e.g., standard deviation) depend for their interpretation on an implicit assumption that the data comprise a random sample from a normal distribution. But we know that analytical data often depart from that model. They are often heavy tailed (contain a higher than expected proportion of results far from the mean) and sometimes contain outliers. |
Documentos electrónicos (1)
 27962 Adobe Acrobat PDF |
