Results 21 to 30 of about 6,859,440 (291)
Central moment analysis for cost accumulators in probabilistic programs [PDF]
Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021 For probabilistic programs, it is usually not possible to automatically derive exact information about their properties, such as the distribution of states at a given program point. Instead, one can attempt to derive approximations, such as upper bounds on tail probabilities. Such bounds can be obtained via concentration inequalities, which rely on the
Di Wang 0017 +2 more
openaire +2 more sources
Some approximation properties of new ( p , q ) $( p,q ) $ -analogue of Balázs–Szabados operators
Journal of Inequalities and Applications, 2021 In this paper, a new ( p , q ) $( p,q ) $ -analogue of the Balázs–Szabados operators is defined. Moments up to the fourth order are calculated, and second order and fourth order central moments are estimated.
Hayatem Hamal, Pembe Sabancigil
doaj +1 more source
Machines, 2022 Moment-based methods can measure the safety degrees of mechanical systems affected by unavoidable uncertainties, utilizing only the statistical moments of random variables for reliability analysis.
Shuang Cao, Hao Lu
doaj +1 more source
A new type of Szász–Mirakjan operators based on q-integers
Journal of Inequalities and Applications, 2023 In this article, by using the notion of quantum calculus, we define a new type Szász–Mirakjan operators based on the q-integers. We derive a recurrence formula and calculate the moments Φ n , q ( t m ; x ) $\Phi _{n,q}(t^{m};x)$ for m = 0 , 1 , 2 $m=0,1 ...
Pembe Sabancigil +2 more
doaj +1 more source
Estimation of statistical moments of performance functions using efficient importance measure
Journal of Asian Architecture and Building Engineering, 2022 This paper introduces an efficient methodology for evaluating the first four central moments of performance functions in structural reliability assessment. The procedure of the proposed method is divided into three major steps.
Dong-Zhu Hu, Zhao-Hui Lu, Yan-Gang Zhao
doaj +1 more source
The Moments of the Non-Central t-Distribution
Biometrika, 1961 "This work was supported by the Office of Naval Reseaarch under Contract Nonr. 404(16)." ; Cover title. ; Mode of access: Internet.
Hogben, David. +2 more
openaire +3 more sources
Central moment inequalities using Stein’s method [PDF]
Electronic Journal of Probability, 2020 Ver 3: 25 pages, added a reference and details; Ver 2: 24 pages, additional discussion; Ver1: 21 ...
Barbour, AD, Ross, N, Wen, Y
openaire +5 more sources
( p , q ) $(p,q)$ -Generalization of Szász–Mirakjan operators and their approximation properties
Journal of Inequalities and Applications, 2020 We introduce a new modification of ( p , q ) $(p,q)$ -analogue of Szász–Mirakjan operators. Firstly, we give a recurrence relation for the moments of ( p , q ) $(p,q)$ -analogue of Szász–Mirakjan operators and present some explicit formulae for the ...
Mustafa Kara, Nazim I. Mahmudov
doaj +1 more source
, 2009 The workshop was built on Donna Ladkin's concept of the 'Leaderful Moment'. The case of the Danish 'Jyske Bank' was used to illustrate how organisations can benefit from 'leaderful moments' when they have a strong and shared values ...
Illes, K.
core +5 more sources
Stable Evaluation of 3D Zernike Moments for Surface Meshes
Algorithms, 2022 The 3D Zernike polynomials form an orthonormal basis of the unit ball. The associated 3D Zernike moments have been successfully applied for 3D shape recognition; they are popular in structural biology for comparing protein structures and properties. Many
Jérôme Houdayer, Patrice Koehl
doaj +1 more source