estimation of gold reserves and resources has been of interest to mining engineers and geologists for ages. the existence of outlier values shows the economic part of the deposits subject to the fact that don’t depend on the human or technical errors. the presence of these high values causes a pseudo dramatically increment in variance estimation of economical blocks when applying conventional m...

Author: Trond Mannseth Affiliation: RF-Rogaland Research Title: NONLINEARITY, SCALE, AND SENSITIVITY FOR PARAMETER ESTIMATION PROBLEMS; SOME IMPLICATIONS FOR ESTIMATION ALGORITHMS Text: Parameter estimation algorithms that rely on sensitivity information to calculate new parameter updates, are usually based on a linearization of the model function at the current parameter estimate. Hence, both ...

The purpose of this paper is to quantify the efficiency with which Australian universities utilise their teaching resources. The study estimates the cost efficiency of 36 universities over the period 1995-2002 using stochastic frontier analysis. The present study differs from previous cost and efficiency studies of Australian universities in two respects. First, it employs stochastic frontier a...

In this paper an attempt is made to explain the basic concept of efficiency, frontier production function, technical efficiency, deterministic frontier, and stochastic frontier. Efficiency of a firm/industry refers to its performance in the utilization of resources at its disposal and is a relative concept. Technical efficiency of a production function is defined as the maximum quantity of outp...

This paper considers the estimation of the coe cient vector in a linear regression model subject to a set of stochastic linear restrictions binding the regression coe cients and presents the method of weighted mixed regression estimation which permits to assign possibly unequal weights to the prior information in relation to the sample information E ciency properties of this estimation procedur...

This paper presents the Application of Quaternion Neural Network (QNN) to Electromyography (EMG) based Estimation of Forearm Motion. Motion of human body can be modeled as a set of rotations in three-dimensional space by various joints. The aim of this research is to show the efficiency of QNN in estimation from EMG. We are trying to learn, estimate and simulate combined motion using QNN as wel...

EDAs guide search by building and sampling an explicit probabilitic model of high-quality solutions. EDAs can solve broad classes of hard problems scalably, often in low-order polynomial time. But scalable performance is sometimes not enough.

Various studies have been carried out on estimation of cost functions for Australian universities, for example, Throsby (1986) and Heaton and Throsby (1997, 1998), and Lloyd et al (1993). While estimating a cost function with different purposes, all of the studies have estimated an aggregate cost function in the sense that the sampled institutions were assumed to have the same cost function. Th...

Due to the high percentage of induction motors in industrial market, there exist a large opportunity for energy savings. Replacement of working induction motors with more efficient ones can be an important resource for energy savings. A calculation of energy savings and payback periods, as a result of such a replacement, based on nameplate motor efficiency or manufacture’s data can lead to larg...