- C.M. Andersen, R. Bro and P.B. Brockhoff
Quantifying and handling errors in instrumental measurements using the measurement error theory
Journal of Chemometrics, 17 (2003) 621-629
Abstract; request
- R.J. Carroll and D. Ruppert
The use and misuse of orthogonal regression in linear errors-in-variables models
The American Statistician, 50 (1996) 1-6
Abstract
- M. de Castro, M. Galea-Rojas, H. Bolfarine and M.V. de Castilho
Detection of analytical bias when comparing two or more measuring methods
Journal of Chemometrics, 18 (2004) 431-440
Abstract; request
- M. de Castro, M. Galea-Rojas, H. Bolfarine and M.V. de Castilho
Local influence in regression models for the detection of analytical bias
Chemometrics and Intelligent Laboratory Systems, 83 (2006) 139-147
Abstract; request
- F.J. del Río, J. Riu and F.X. Rius
Prediction intervals in linear regression taking into account errors on both axes
Journal of Chemometrics, 15 (2001) 773-788
Abstract; request
- F.J. del Río Bocio, J. Riu, R. Boqué and F.X. Rius
Limits of detection in linear regression with errors in the concentration
Journal of Chemometrics, 17 (2003) 413-421
Abstract; request
- M. Galea-Rojas, M.V. de Castilho, H. Bolfarine and M. de Castro
Detection of analytical bias
The Analyst, 128 (2003) 1073-1081
Abstract; request
- J. Tellinghuisen
Inverse vs. classical calibration for small data sets
Fresenius Journal of Analytical Chemistry, 368 (2000) 585-588
Abstract; request
- J. Tellinghuisen
A simple, all-purpose nonlinear algorithm for univariate calibration
The Analyst, 125 (2000) 1045-1048
Abstract; request
- J. Tellinghuisen
Simple algorithms for nonlinear calibration by the classical and standard additions methods
The Analyst, 130 (2005) 370-378
Abstract; request
|