CloudPEST a python module for cloud-computing deployment of PEST, a program for parameter estimation /
Saved in:
Main Author: | Fienen, Michael N. |
---|---|
Corporate Author: | Geological Survey (U.S.) |
Other Authors: | Kunicki, Thomas C., Kester, Daniel E. |
Format: | Government Document Electronic eBook |
Language: | English |
Published: |
Reston, Va. :
U.S. Dept. of the Interior, U.S. Geological Survey,
2011.
|
Series: | U.S. Geological Survey open-file report ;
2011-1062. |
Subjects: | |
Online Access: | CONNECT CONNECT |
Similar Items
-
Approaches in highly parameterized inversion : bgaPEST, a Bayesian geostatistical approach implementation with PEST-documentation and instructions /
by: Fienen, Michael N.,
Published: (2013) -
Approaches to highly parameterized inversion : a guide to using PEST for model-parameter and predictive-uncertainty analysis /
by: Doherty, John E.
Published: (2011) -
Approaches to highly parameterized inversion a guide to using PEST for groundwater-model calibration /
by: Doherty, John E.
Published: (2010) -
Item response theory : parameter estimation techniques /
by: Baker, Frank B.
Published: (2004) -
Tractability : practical approaches to hard problems /
Published: (2014)