Using four empirical datasets, we evaluate and characterize four such imputation methods, referred to as k-nearest neighbors, singular value decomposition, random forest regression, and expectation maximization imputation, in terms of their imputation accuracies and the factors affecting accuracy.
Based on these traits, we develop a profit-maximization model in terms of certain market-reaction parameters, especially product-fit uncertainty, and calculate the optimal pricing strategy, including both the insurance premium and the compensation.
In order to fit data or theoretical distributions to PH, the paper compares and discusses two PH fitting algorithms: the Moment Matching (MM) and the Expectation Maximization (EM) methods in terms of accuracy, computational efficiency and the available information of the random variables to fit.
Under Gaussian assumptions, it is known that maximizing the deflection coefficient leads to the maximization of the detection performance in terms of the ROC curve [31].
The aim of this paper is to consider a dynamic competitive economic equilibrium problem in terms of maximization of utility functions and of excess demand functions.
The optimization algorithm determines, in real time, the optimal operating condition, defined in terms of maximization of profit.
Used as an alternative to traditional routing, NC has proved beneficial to real-time streaming applications, both in terms of maximization of the throughput and in terms of reduction of the effects of losses [28 33].
(Sumner 1987, 171) Instrumental theories that do not define an optimal distribution in terms of maximization may face less pressure than utilitarianism does from concerns about weak rights.
Artificial neural network (ANN) and genetic algorithms (GA) approaches were blended to modeling, optimization, and simultaneous maximization of η and D in terms of assembling parameters of DSSCs.
Finally, the fourth phase contains the selection of the best allocations' triplet, in terms of maximization of an OF related to utility, i.e., the level of users' satisfaction and the minimization of the associated cost.
