the development of the data market, the data transaction volume is small, and the resulting small sample problem makes it … accuracy in new tasks. Experimental results demonstrate that the proposed MLP-Reptile model excels in small sample data pricing … various industries. The methods proposed in this research are universally applicable for addressing the small sample problem …

(the unrestricted weighted least squares) that adjusts the degrees of freedom and thereby reduces small-sample bias to …

(the unrestricted weighted least squares) that adjusts the degrees of freedom and thereby reduces small-sample bias to …

(the unrestricted weighted least squares) that adjusts the degrees of freedom and thereby reduces small-sample bias to …

this export sector encounters small sample issues within the frequentist framework. So, by adopting a Bayesian approach …

small-sample biases (n < 200), and a simple correction factor of (n-2)/(n-1) greatly reduces these small-sample biases. In …

small-sample biases (n < 200), and a simple correction factor of (n-2)/(n-1) greatly reduces these small-sample biases. In …