Literature

The following list of literature should help users new to PEST to find a reasonably easy access to the science behind its tools. Initially, PEST might be sought as a tool to accelerate model calibration. PEST has a very high potential to accomplish this task if the underlying concepts are sufficiently understood. Later, more advanced methods might be applied to understand the uncertainties associated with calibrated models and predictions made by them.

• The document Use of PEST and Some of its Utilities in Model Calibration and Predictive Error Variance Analysis: A Roadmap provides a first overview.

• For a more in-depth understanding, the PEST tutorial Methodologies and Software for PEST-Based Model Predictive Uncertainty Analysis is recommended. It provides a comprehensive introduction to basic and advanced methods, and conveys important knowledge of the concepts behind them.

• The new PEST manual part I & II offers a complete reference to all PEST features and tools. This manual will refer to these documents regularly for further reading.

• Also available is a new book: PEST - The Book,  which in addition to providing in depth coverage of PEST theory also makes conclusions about the applying the theory to import decisions.

• Another useful document Getting the Most out of PEST describes some general settings and procedures that avoids a major part of typical problems. FePEST uses a major part of these recommendations by default.

Visit www.pesthomepage.org for additional documentation on PEST