Refined parameter and uncertainty estimation when both variables are subject to error. Case study: estimation of Si consumption and regeneration rates in a marine environment
- 1 April 2005
- journal article
- Published by Elsevier in Journal of Marine Systems
- Vol. 55 (3-4) , 205-221
- https://doi.org/10.1016/j.jmarsys.2004.09.006
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Model selection through a statistical analysis of the minimum of a weighted least squares cost functionChemometrics and Intelligent Laboratory Systems, 2005
- The balance between silica production and silica dissolution in the sea: Insights from Monterey Bay, California, applied to the global data setLimnology and Oceanography, 2003
- The decoupling of production and particulate export in the surface oceanGlobal Biogeochemical Cycles, 1998
- SENSOP: A derivative-free solver for nonlinear least squares with sensitivity scalingAnnals of Biomedical Engineering, 1993
- Error analysis of the parameters of a least-squares determined curve when both variables have uncertaintiesMeasurement Science and Technology, 1991
- Computational Experience with Confidence Regions and Confidence Intervals for Nonlinear Least SquaresTechnometrics, 1987
- Parameter Transformations for Improved Approximate Confidence Regions in Nonlinear Least SquaresThe Annals of Statistics, 1981
- On an Iterative Procedure for Estimating Functions When Both Variables Are Subject to ErrorTechnometrics, 1972
- Improved Parameter EstimationTechnometrics, 1970
- Likelihood Distributions for Estimating Functions When Both Variables Are Subject to ErrorTechnometrics, 1967