SIPHAR and MKMODEL in their extended least squares modes have been compared when fitting a triexponential declining function to simulated data. The data were simulated on SAS incorporating normally distributed random error, having coefficients of variation (CV) of 5 , 10, 15, and 25 per cent. At eac
A critical comparison of least absolute deviation fitting (robust) and least squares fitting: The importance of error distributions
โ Scribed by I.B.C. Matheson
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 554 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0097-8485
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