Error-estimates for the Ritz's method of finding eigenvalues and eigenfunctions
Erweiterung des -Stabilitätsbegriffes auf die Klasse der linearen Mehrschrittblockverfahren.
In der vorliegenden Arbeit wird der -Stabilitätsbegriff von Dahlquist, der die Grundlage für Stabilitätsuntersuchungen bei linearen Mehrschrittverfahren zur Lösung nichtlinearet Anfangswertaufgaben bildet, auf die Klasse der linearen Mehrschrittblockverfahren übertragen. Es wird nachgewiesen, das Blockverfahren, die in diesem Sinne stabil sind, höchstens die Konsistenzordnung 2 haben können.
Esquisse d'une théorie décompositionnelle
Essai d'application de la méthode spectroscopique de Lanczos pour la recherche des valeurs propres des matrices
Estabilización de la varianza de una distribución hipergeométrica.
En este trabajo se determina una transformación tipo arco seno para una distribución hipergeométrica H(N,D = pN,n) de forma que estabilice la varianza de la misma en función de la fracción p de objetos de un cierto tipo. Como caso particular de las expresiones obtenidas se deducen las dadas por F. J. Anscombe (1948) para la distribución binomial B(n,p). Al final del trabajo se efectúa una investigación numérica de los resultados obtenidos y se dan algunas aplicaciones para realizar inferencias sobre...
Estimate of vegetation efficiency on reducing dust concentration produced by a surface coal mine
A new vegetative barrier can help to reduce dust concentration in a surface coal mine neighbourhood. The project reports about quantification of this effect. An air flow field is computed together with the dust transport driven by it using an in-house CFD solver. The 2D cuts of a real geometry of Bílina coal mine in north Bohemia are used. The vegetation is modelled as horizontally homogeneous porous medium which slows the air flow inside. An influence on turbulence and filtering the dust particles...
Estimates and iteration procedures for proper values of almost decomposable matrices
Estimates for Multigrid Methods Based on Red-Black Gauss-Seidel Smoothings.
Estimates for spline projections
Estimates from above and from below for the Homogenized Coefficients.
Estimates Near Discontinuities for Some Difference Schemes.
Estimates of deviations from exact solutions of initial-boundary value problem for the heat equation
The paper is concerned with deriving functionals that give upper bounds of the difference between the exact solution of the initial-boundary value problem for the heat equation and any admissible function from the functional class naturally associated with this problem. These bounds are given by nonegative functionals called deviation majorants, which vanish only if the function and exact solution coincide. The deviation majorants pose a new type of a posteriori estimates that can be used in numerical...
Estimates of reliability for the normal distribution
The minimum variance unbiased, the maximum likelihood, the Bayes, and the naive estimates of the reliability function of a normal distribution are studied. Their asymptotic normality is proved and asymptotic expansions for both the expectation and the mean squared error are derived. The estimates are then compared using the concept of deficiency. In the end an extensive Monte Carlo study of the estimates in small samples is given.
Estimates on the semigroups generated by left invariant operators on Lie groups.
Estimating a resource selection function with line transect sampling.
Estimating an even spherical measure from its sine transform
To reconstruct an even Borel measure on the unit sphere from finitely many values of its sine transform a least square estimator is proposed. Applying results by Gardner, Kiderlen and Milanfar we estimate its rate of convergence and prove strong consistency. We close this paper by giving an estimator for the directional distribution of certain three-dimensional stationary Poisson processes of convex cylinders which have applications in material science.
Estimating error bounds of Bajaj's solid models and their control hexahedral meshes.
Estimating Errors of Numerical Approximation for Analytic Functions.
Estimating from cross-sectional categorical data subject to misclassification and double sampling: moment-based, maximum likelihood and quasi-likelihood approaches.
Estimating powers with base close to unity and large exponents.