Reviewed by Eric Estevez Key Takeaways Standard error measures the accuracy of a sample mean by showing how much it deviates ...

Stratified sampling is considered, where (a) the mean integrated squared error (MISE) metric is used in place of the mean squared error (MSE) metric; (b) the entire ...

You can think of a neural network (NN) as a complex function that accepts numeric inputs and generates numeric outputs. The output values for an NN are determined by its internal structure and by the ...

The term "empirical predictor" refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters; thus ...

Credit must be given to the creator. Only noncommercial uses of the work are permitted. Comparison of the BNN predictions (red curve) and experimental values (black squares) of 159Tb for the training ...