On a statistical approximation model of probabilitydensity function of non-negative random variables

Tibor KPogany
Additional contact information
Tibor KPogany: Faculty od Maritime Studies, University of Rijeka, Croatia

Biostatistics and Biometrics Open Access Journal, 2018, vol. 8, issue 4, 69-72

Abstract: The probability density function of a non–negative random variable is approximated by virtue of a result by Totik [1], when the support domain is truncated to a finite interval. This result is transferred to the case of three–parameter Weibull distribution.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555741.pdf (application/pdf)
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555741.php (text/html)

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:adp:jbboaj:v:8:y:2018:i:4:p:69-72

DOI: 10.19080/BBOAJ.2018.08.555741

Access Statistics for this article

Biostatistics and Biometrics Open Access Journal is currently edited by Sophia Mathis

More articles in Biostatistics and Biometrics Open Access Journal from Juniper Publishers Inc.
Bibliographic data for series maintained by Robert Thomas ().