flow modeling because the rainfall estimates were considered to be unreliable. In this study we present the calibration and … validation results from a spatially distributed hydrologic model driven by daily satellite-based estimates of rainfall for sub … hydrologic modeling when the hydrologic model is calibrated with such data. However, the remotely sensed rainfall estimates …

for micro simulation such as the choice of estimation criteria, calibration to benchmarks and model validation. Some of …Micro simulation involves modeling the behavior of individuals and other decision units taking into account the effects … modeling effort, data requirements and computer capacity. The issues of statistical inference related to micro simulation are …

, AquaCrop, developed by FAO, was adapted for cabbage (Brassica oleracea L.) using a limited dataset and leave-one-out cross-validation …

conducted at the research farm of the Water Technology Centre, IARI, New Delhi during kharif 2009 and 2010. Calibration was done … using the data of 2009 and validation with the data of 2010. Irrigation applications comprised rainfed, i.e. no irrigation ….42, 0.9<R2<0.91 and 0.17<MAE<0.51tha−1. Upon validation, the E was 0.95 and 0.98; MAE was 0.11 and 1.08 and RMSE was 0.1 and …

In this paper we introduce a calibration procedure for validating of agent based models. Starting from the well …-known financial model of Brock and Hommes 1998, we show how an appropriate calibration enables the model to describe price time series …. We formulate the calibration problem as a nonlinear constrained optimization that can be solved numerically via a …