In this paper, we consider the problems of finding corresponding points from multiple perspective projection images (the correspondence problem), and estimating the 3-D point from which these points have arisen (the triangulation problem). We pose the triangulation problem as that of finding the Bayesian maximum a posteriori estimate of the 3-D point, given its projections in N images, assuming...

Population attributable risk estimates offer a method of combining information on population exposure and disease risk factors into a single measure. Univariate and multivariable methods exist for calculating point estimates and variances under the assumption of equal sampling probabilities. National Animal Health Monitoring System national studies typically use a complex survey design (where s...

Least squares method (LSM) is an accurate and rapid method for solving some analytical and numerical problems. This method can be used to estimate the average reservoir pressure in well test analysis. In fact, it may be employed to estimate parameters such as permeability (k) and pore volume (Vp). Regarding this point, buildup, drawdown, late transient test data, modified Muskat method, interfe...

This paper develops a new method, named E-Bayesian estimation, to estimate reliability parameter. In the paper, the E-Bayesian estimation method of failure rate is derived for testing data from products with exponential distribution. Relations between E-Bayesian estimation and hierarchical Bayesian estimation are discussed. Finally, the new method is applied to a real testing data set, and as c...

in this research, the effect of the first order magnetic field on the ground-state of a centered hydrogenic donor impurity in a gaas/alas spherical quantum dot has been calculated. the perturbation method has been used within the framework of effective mass approximation for these calculations. overall, the analysis shows that a proper choice of quantum dot radius and magnetic field can signifi...

The Kaplan-Meier (KM) method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some importa...

The Kaplan-Yorke conjecture suggests a simple relationship between the fractal dimension of a system and its Lyapunov spectrum. This relationship has important consequences in the broad field of nonlinear dynamics where dimension and Lyapunov exponents are frequently used descriptors of system dynamics. We develop an experimental system with controllable dimension by making use of the Kaplan-Yo...

PIH64 FamIly PreFerences In tHe Volume Versus outcome Debate: ImPlIcatIons For tHe DelIVery oF comPlex PeDIatrIc care O’Leary G.1, Lockhart A.1, Mullenger R.2, Warren A.2, Hancock Friesen C.2, Levy A.2, Molinari M.2, O’Blenes S.2 1IWK Health Centre, Halifax, NS, Canada, 2Dalhousie University, Halifax, NS, Canada Objectives: A Relationship between volume and outcome for complex medical procedure...

least squares method (lsm) is an accurate and rapid method for solving some analytical andnumerical problems. this method can be used to estimate the average reservoir pressure in well testanalysis. in fact, it may be employed to estimate parameters such as permeability (k) and porevolume (vp). regarding this point, buildup, drawdown, late transient test data, modified muskatmethod, interferenc...