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Book
Approaches to highly parameterized inversion: pilot point theory, guidelines, and research directions
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Year: 2010 Publisher: Reston, Virginia : U.S. Department of the Interior, U.S. Geological Survey,

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Approaches in highly parameterized inversion : bgaPEST, a Bayesian geostatistical approach implementation with PEST-documentation and instructions
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Year: 2013 Publisher: Reston, Virginia : U.S. Department of the Interior, U.S. Geological Survey,

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Book
Approaches to highly parameterized inversion : a guide to using PEST for model-parameter and predictive-uncertainty analysis
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Year: 2011 Publisher: Reston, Va. : U.S. Dept. of the Interior, U.S. Geological Survey,

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Book
Approaches to highly parameterized inversion : a guide to using PEST for groundwater-model calibration
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Year: 2010 Publisher: Reston, Va. : U.S. Dept. of the Interior, U.S. Geological Survey,

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CloudPEST : a python module for cloud-computing deployment of PEST, a program for parameter estimation
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Year: 2011 Publisher: Reston, Va. : U.S. Dept. of the Interior, U.S. Geological Survey,

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Book
Approaches to highly parameterized inversion : PEST++ version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis
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Year: 2020 Publisher: Reston, Virginia : U.S. Department of the Interior, U.S. Geological Survey,

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Book
Recovering parameters of Johnson's SB distribution
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Year: 2003 Publisher: Asheville, NC : U.S. Dept. of Agriculture, Forest Service, Southern Research Station,

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Book
Extraction of longitudinal aerodynamic coefficients from forward-flight conditions of a tilt wing V/STOL airplane
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Year: 1972 Publisher: Washington, D.C. : National Aeronautics and Space Administration,

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Book
Approaches in highly parameterized inversion : TSPROC, a general time-series processor to assist in model calibration and result summarization
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Year: 2012 Publisher: Reston, Virginia : U.S. Department of the Interior, U.S. Geological Survey,

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Book
Forest Products Laboratory contributions to the use of Weibull distribution in wood engineering
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Year: 2019 Publisher: Madison, WI : United States Department of Agriculture, Forest Service, Forest Products Laboratory,

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