Therefore, the concept of the price-elasticity of demand is important for modelling responses.
We created a new weight by multiplying the original sample selection weight for each sample unit by the reciprocal of its modelling response propensity in order to estimate unbiased or nearly unbiased population statistics.
"Over the last twelve months would you say your health has on the whole been: good, fairly good or not good?" For modelling purposes, responses were dichotomised not good health versus good/fairly good in line with other studies using this question [ 7, 19].
In this proposed work, demand response modelling scheme for industrial sector is done using Resource task network (RTN) scheduling process and stochastic dynamic programming.
We present modelling results for the response of the windings to a short circuit.
An alternative aeroelastic modelling technique for the response predictions of tall buildings in two fundamental translational modes, namely a two-degree-of-freedom base hinged aeroelastic (BHA) model, is proposed.
Here we analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neuron responses.
The utility of a dynamic hollow-fibre liquid phase microextraction method (optimized using a four-variable experimental design and response surface modelling) for extracting dinitrophenolic compounds from human plasma samples was evaluated.
Analysts can select modelling strategies for current and past responses based on interested transition probabilities, then modify the definitions of secondary transition probabilities accordingly, the same as we did for the ARM birth cohort study.
