Horizontal directional drilling is usually used in drilling engineering. In a variety of conditions, it is necessary to predict the torque required for performing the drilling operation. Nevertheless, there is presently not a convenient method available to accomplish this task. In order to overcome this difficulty, the current work aims at predicting the required rotational torque (RT) to opera...

In the first part of paper, one-parameter (1P), fifth and seventh order polynomial interpolationconvolution kernels, are described. second paper an Experiment is The precision theimage interpolation was tested. Interpolation Test images from base, using wereperformed. kernels measured mean squared error (MSE). Next,optimum kernel parameter, α, were determined by minimizing MSE. After that, a co...

Motivated by the need for distributed learning and optimization algorithms with low communication cost, we study communication efficient algorithms for distributed mean estimation. Unlike previous works, we make no probabilistic assumptions on the data. We first show that for d dimensional data with n clients, a naive stochastic rounding approach yields a mean squared error (MSE) of ⇥(d/n) and ...

Matching methods are common in studies across many disciplines. However, there is limited evidence on how to optimally combine matching with subsequent analysis approaches to minimize bias and maximize efficiency for the quantity of interest. We conducted simulations to compare the performance of a wide variety of matching methods and analysis approaches in terms of bias, variance, and mean squ...

Neural network (NN) based modeling often requires trying multiple networks with different architectures and training parameters in order to achieve an acceptable model accuracy. Typically, only one of the trained networks is selected as "best" and the rest are discarded. The authors propose using optimal linear combinations (OLC's) of the corresponding outputs on a set of NN's as an alternative...

Some ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are proposed. Under simple random sampling without replacement (SRSWOR) scheme, the expressions of bias and mean-squared error (MSE) up to the first order of approximation are derived. The results obtained have been...

Abstract: In this paper we have suggested a general procedure for estimating the population mean through defining a class of estimators. Many of the existing estimators are shown particular members of the proposed class of estimators. It has been shown to the first degree of approximation that mean squared error (MSE) of the proposed class of estimators are better than the competing ratio, regr...