Global Sensitivity Analysis for Statistical Model Parameters
نویسندگان
چکیده
منابع مشابه
Global sensitivity analysis and calibration of parameters for a physically-based agro-hydrological model
Efficient parameter identification is an important issue for mechanistic agro-hydrological models with a complex and nonlinear property. In this study, we presented an efficient global methodology of sensitivity analysis and parameter estimation for a physically-based agro-hydrological model (SWAP-EPIC). The LH-OAT based module and the modified-MGA based module were developed for parameter sens...
متن کاملAn efficient integrated approach for global sensitivity analysis of hydrological model parameters
Efficient sensitivity analysis, particularly for the global sensitivity analysis (GSA) to identify the most important or sensitive parameters, is crucial for understanding complex hydrological models, e.g., distributed hydrological models. In this paper, we propose an efficient integrated approach that integrates a qualitative screening method (the Morris method) with a quantitative analysis me...
متن کاملSensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
In recent years, a lot of research has been done on the Aquacrop model, the results show that this model simulates the product performance for deficit irrigation conditions. But this model, like other models, is sensitive to values of independent variables (model inputs). In this research, the sensitivity of the Aquacrop model was analyzed for 4 input parameters of reference evapotranspiration,...
متن کاملParameters sensitivity analysis for a regional applied crop model
Introduction Conclusions References Tables Figures
متن کاملSensitivity Analysis of MPSIAC Model
MPSIAC is currently known as an appropriate method to measure sediment ofWatershed basins of the country while there has not been any sensitivity analysis so far forthis method. In this study, required data for MPSIAC model were gathered from six basins;Amame-Kamarkhani, Kand-Golandok, Tang Kenesht (from two different references), Nojian(from three different references), Pegahe sorkh katvand (f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SIAM/ASA Journal on Uncertainty Quantification
سال: 2019
ISSN: 2166-2525
DOI: 10.1137/17m1161397