Buscar
Mostrando ítems 21-30 de 21107
Asymptotic properties of statistical estimators using multivariate Chi-squared measurements
(Academic Press Inc Elsevier Science, 2020-08)
This paper studies the problem of estimating a parameter vector from measurements having a multivariate chi-squared distribution. Maximum likelihood estimation in this setting is unfeasible because the multivariate chi-squared ...
Geodesic Hypothesis Testing for Comparing Location Parameters in Elliptical Populations
(Springer India, 2016-02)
In this paper we study the geometry of the differentiable manifold associated with two samples of symmetric distributions in the real line equipped with the Fisher information as Riemannian metric. Expressions for the ...
COMPUTATIONAL STUDY on the RUPTURE RISK in REAL CEREBRAL ANEURYSMS with GEOMETRICAL and FLUID-MECHANICAL PARAMETERS USING FSI SIMULATIONS and MACHINE LEARNING ALGORITHMS
(World Scientific Publishing Co. Pte Ltd, 2019)
Fluid-mechanical and morphological parameters are recognized as major factors in the rupture risk of human aneurysms. On the other hand, it is well known that a lot of machine learning tools are available to study a variety ...
Statiscal evaluation of the user-specified input parameters in an adaptive weight depth map algorithm
(Universidad EAFITIngeniería MecánicaEscuela de Ingeniería. Departamento de Ingeniería Mecánica, 2011)
In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experiments -- A structured statistical approach including ...
Statistical analysis of the main incremental forming-SPIF process parameters that contribute to the change the roughness in an experimental geometry
(FEDERACION ASOCIACIONES INGENIEROS INDUSTRIALES ESPANA, 2016-11-01)
Over time the process of incremental deformation of sheet metal without matrix in its variant (SPIF), has been developed in different countries with the aim of meeting the needs of flexible production with no investment ...
Kinematic constraints on spatial curvature from supernovae Ia and cosmic chronometers
(2021-01-01)
An approach to estimate the spatial curvature ωk from data independently of dynamical models is suggested, through kinematic parametrizations of the comoving distance [DC(z)] with third-degree polynomial, of the Hubble ...