Model evaluation and calibration

This chapter contains sections titled: Introduction Model criticism Model benchmarking Model calibration Summary

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Bibliographische Detailangaben
Hauptverfasser:	Kershaw, John A, Weiskittel, Aaron R, Vanclay, Jerome K, Hann, David W
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	compatibility, multiple meanings in model evaluation ‐ stochastic predictions, compatible growth, and yield models ‐ modeling datasets, small fractions of population key statistical tests, in model benchmarking ‐ parametric and nonparametric techniques model benchmarking, good option ‐ quantitative assessment of model performance model calibration, decisions made on whether ‐ or not to re‐calibrate a model, model with deficiencies model criticism ‐ first step in any model evaluation process model criticism, examination of structure ‐ and properties of a model model evaluation and calibration ‐ important part of model construction model evaluation criteria ‐ and key metrics qualitative assessment ‐ of biological realism, difficult SCIENCE: GENERAL ISSUES
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Beschreibung
Zusammenfassung:	This chapter contains sections titled: Introduction Model criticism Model benchmarking Model calibration Summary
DOI:	10.1002/9781119998518.ch15