Birnbaum–Saunders distribution based on Laplace kernel and some properties and inferential issues

Xiaojun Zhu and N. Balakrishnan

Statistics & Probability Letters, 2015, vol. 101, issue C, 1-10

Abstract: For the Birnbaum–Saunders distribution based on Laplace kernel, we discuss the shape characteristics of density and hazard functions. We show the existence and uniqueness of maximum likelihood estimates. Simple modified moment estimators are proposed and compared with maximum likelihood estimates.

Keywords: Birnbaum–Saunders distribution; Generalized Birnbaum–Saunders distribution; Hazard function; Laplace Birnbaum–Saunders distribution; Modified moment estimators (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715215000577
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:stapro:v:101:y:2015:i:c:p:1-10

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2015.02.007

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().