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Accuracy And Uncertainty In PTF Predictions

M. Schaap
Published 2004 · Mathematics

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Publisher Summary This chapter discusses optimization, accuracy, and uncertainty in pedotransfer functions (PTFs). Optimization criteria are the objective functions used to calibrate empirical parameters in PTFs. Accuracy criteria relate to the statistical methods used to test the performance of indirect methods, preferably using data distinct from those used for calibration. Uncertainty estimates provide information about the probability distribution of estimated hydraulic quantities. Thus, a PTF can make accurate estimates (i.e., it produces the correct values on average), but it may not be reliable sometimes; for example, real-world variability is larger than estimated with the PTF. Alternatively, a PTF can be deemed inaccurate when it produces estimates that, on average, differ systematically from observations.
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