EconPapers    
Economics at your fingertips  
 

Statistical approximation for new positive linear operators of Lagrange type

M. Mursaleen, Faisal Khan and Asif Khan

Applied Mathematics and Computation, 2014, vol. 232, issue C, 548-558

Abstract: In this paper, we prove some approximation results in statistical sense and establish some direct theorems for the positive linear operators constructed by the means of Lagrange type polynomials. We compute error estimation by using modulus of continuity with the help of Matlab and give its algorithm. Furthermore, we show graphically the convergence of our operators to various functions.

Keywords: Lagrange polynomial; A-statistical convergence; Positive linear operators; Modulus of continuity; Error estimate; Peetre’s K-functional; Lipschitz class (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300314001301
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:232:y:2014:i:c:p:548-558

DOI: 10.1016/j.amc.2014.01.093

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:232:y:2014:i:c:p:548-558