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A systemic model of error causation is propagated and subsequently used to develop a learning framework for design error prevention.
Drawing on 18 months of participant observations and 38 interviews conducted in a Big 4 accounting firm, we develop a multi-level model of error management.
Based on the detailed analysis of systematic errors, mathematical model of error parameters is constructed and linear calibration method is proposed for magnetic gradient tensor system.
Firstly, nonlinear mathematical model of error parameters for single vector magnetometer is constructed based on scalar calibration, and least square solution is deduced by two nonlinear conversions without any mathematical simplification.
Each has its model of error causation and each model gives rise to quite different philosophies of error management [ 17].
The technology-specific component utilizes an intensity-dependent model of error derived from numerous self-self hybridizations.
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Model development for the reference model and the system-specific model was performed in three steps: choice of structural model; choice of error model; and choice of the covariate model.
This paper presents a theoretical model of errors of probes for CNC machine tools.
A next step will be to develop realistic models of error in sequencing and assembly, and to provide tools to allow any sets of assumptions about read length and cost to be examined.
Accurate modeling of errors is an essential part of error compensation.
Standards and modeling of errors, however, offer nearer-term help.
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