A weighted total least-squares algorithm for fitting a straight line

By M. Krystek, M. Anton. 2007

224 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Applied Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fb770369ed29764836525520aedf63eab35cceac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Jürgen Rainer Reichenbach
2. Ferdinand Schweser
3. Andreas Deistung
4. Berengar Wendel Lehr

In Applied Mathematics

1. Jürgen Rainer Reichenbach
2. Ferdinand Schweser
3. Andreas Deistung
4. Berengar Wendel Lehr

In Statistics and Probability

1. Jürgen Rainer Reichenbach
2. Ferdinand Schweser
3. Andreas Deistung
4. Berengar Wendel Lehr

Citations in the corpus

• Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? (2011, methodology): “The Pearson correlation was calculated and LWRLS fitting was performed for all cases to obtain linear estimates for the relation between magnetic susceptibility and local IFS.”
• Toward in vivo histology: A comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2⁎-imaging at ultra-high magnetic field strength (2013, unknown): “If the magnitude of Pearson's correlation coefficient exceeded 0.5, a linear weighted total least-squares regression was performed with the standard deviation of the respective VOI values as weights (Krystek and Anton, 2007).”