Compound Symmetric Error Structure

2002 ◽  
pp. 71-101
Author(s):  
Peter Goos
Keyword(s):  
Error Structure

Forecasting with growth curves: The effect of error structure

1988 ◽  
Vol 7 (4) ◽  
pp. 235-244 ◽  
Author(s):  
Nigel Meade
Keyword(s):  
Growth Curves ◽  
Error Structure

scholarly journals What happens when data are fitted to the wrong equation?

1978 ◽  
Vol 171 (3) ◽  
pp. 513-517 ◽  
Author(s):  
K J Ellis ◽  
R G Duggleby
Keyword(s):  
Data Analysis ◽  
Random Errors ◽  
Mathematical Equation ◽  
Error Structure ◽  
Weighting Factors ◽  
The Difference ◽  
Residual Plots

In many problems of data analysis it is necessary to fit the data to a mathematical equation. Random errors of measurement will be responsible for deviations between the data and the equation, but superimposed on this there may be deviations that result from the equation being an inadequate description of the system from which the data were obtained. Plots of the residual (i.e. the difference between the experimental and calculated values of the dependent variable) against each of the experimental variables have been previously used to detect a misfit between the data and the equation. In the present paper, we show that the shape of the residual plots may be used as a guide in choosing a more appropriate equation. In addition, residual plots give useful information on the error structure of the data, and hence the weighting factors that should be used in the analysis.

Sensitivity analysis and error structure of progress curves

2006 ◽  
Vol 358 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Omar A. Gutierrez ◽  
U. Helena Danielson
Keyword(s):  
Sensitivity Analysis ◽  
Error Structure

Systematic investigation of the measurement error structure in a smartphone-based spectrophotometer

2020 ◽  
Vol 1129 ◽  
pp. 98-107
Author(s):  
Fereshteh Matinrad ◽  
Mohsen Kompany-Zareh ◽  
Nematollah Omidikia ◽  
Mahsa Dadashi
Keyword(s):  
Measurement Error ◽  
Systematic Investigation ◽  
Error Structure
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