Results 71 to 80 of about 564,007 (147)
Approximation hardness of dominating set problems in bounded degree graphs [PDF]
We study approximation hardness of the Minimum Dominating Set problem and its variants in undirected and directed graphs. Using a similar result obtained by Trevisan for Minimum Set Cover we prove the first explicit approximation lower bounds for various
Chlebikova, Janka +4 more
core +1 more source
Local RBF approximation for scattered data fitting with bivariate splines [PDF]
In this paper we continue our earlier research [4] aimed at developing effcient methods of local approximation suitable for the first stage of a spline based two-stage scattered data fitting algorithm.
Davydov, O., Sestini, A., Morandi, R.
core +4 more sources
The exponentiated Ailamujia distribution: Properties and application
This paper introduces the exponentiated Ailamujia distribution (EAD), extending the Ailamujia distribution (AD) to offer greater versatility in modeling positively skewed data.
Showkat Ahmad Lone +2 more
doaj +1 more source
Topics in Multivariate Approximation
Topics in Multivariate Approximation contains the proceedings of an international workshop on multivariate approximation held at the University of Chile in Santiago, Chile, on December 15-19, 1986.
Schumaker, L. L. +2 more
core
SDE WEAK APPROXIMATION LIBRARY (SDE WA) (VERSION 1.0) [PDF]
In application of mathematical finance to practical problems, weak approximation of stochastic differential equations (SDEs) is one of the most important themes.In probabilistic approach to this problem, the Euler-Maruyama scheme which is a first-order ...
Mariko Ninomiya
core
Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes. [PDF]
Abo-Kasem OE, El Saeed AR, El Sayed AI.
europepmc +1 more source
Simple nested Bayesian hypothesis testing for meta-analysis, Cox, Poisson and logistic regression models. [PDF]
Rostgaard K.
europepmc +1 more source
Effective risk exposure descriptions can be made using continuous distributions. To illustrate the level of exposure to a certain danger, it is better to use a single number, or at the very least, a small set of numbers.
Vahid Ranjbar +3 more
doaj +1 more source
History and nature of the Jeffreys-Lindley paradox. [PDF]
Wagenmakers EJ, Ly A.
europepmc +1 more source
Comparison of different estimation methods for extreme value distribution. [PDF]
Yılmaz A, Kara M, Özdemir O.
europepmc +1 more source

