On the validation of models

TL;DR: In this paper, a nine-sector general equilibrium model, treating sectoral productivity growth rates as exogenous, accounts for some of the differing sectoral allocations of employment in Latin America and East Asia over the sample period.

TL;DR: The extent of projected climate change in Saskatchewan indicates that growers in this region have the potential of earlier seeding, and the results obtained may be used for adaptation assessments of seeding dates under possible climate change to mitigate the impact of potential warming.

TL;DR: In this article, the authors focus on the analysis of convective heat transfer occurring between the plant layer and the external air and evaluate six different formulae, including forced convection, empirical and statistical methods to assess the goodness-offit of the considered convective models.

TL;DR: In this paper, Artificial Intelligence (AI) models, comprising Multi-layer Perceptron Neural Network (MLPNN) and Co-Active Neuro-Fuzzy Inference System (CANFIS), and regression, model including Multiple Linear Regression (MLR), were investigated for multi-scalar Standardized Precipitation Index (SPI) prediction in the Garhwal region of Uttarakhand State, India.

TL;DR: In this paper, an equation that predicts downcoming long-wave radiation from clear skies on the basis of screen air temperature and vapor pressure has been developed, which fits measured data at extremes of temperature and humidity better than existing equations, and exhibits comparable accuracy at intermediate values.

TL;DR: In this paper, an empirical method for interpolating monthly precipitation totals within California is described and evaluated using 120 monthly precipitation total observed from 1961-1970 at each of 90 randomly selected stations in California and a P-mode principal components analysis of a co-variance matrix, four independent sources of precipitation variability were identified and quantitatively paraphrased.

TL;DR: In this article, a numerical model based on standard meteorological data, as described above, can be used to extend the data base for design purposes, and the model is used to compute the amount of direct solar flux.

TL;DR: In this paper, the maximum likelihood estimators of α and β under functional and structural models are discussed, and the least square procedure is also considered, leading to a quadratic equation which can be solved to give an estimate of β.