Properties of increasing odds rate distributions with a statistical application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F22%3A10250638" target="_blank" >RIV/61989100:27510/22:10250638 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0378375822000428" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378375822000428</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jspi.2022.05.004" target="_blank" >10.1016/j.jspi.2022.05.004</a>
Alternative languages
Result language
angličtina
Original language name
Properties of increasing odds rate distributions with a statistical application
Original language description
We study the family of distributions characterised by an increasing odds rate (IOR), showing that this provides an alternative interpretation of the "adverse ageing" notion, comparable to the well known increasing hazard rate (IHR) model. We prove some preservation properties of this class under several transformations that are often considered in reliability and life testing problems, including formation of order statistics. Moreover, the IOR assumption enables the derivation of survival bounds and tolerance limits, extending the scope of applicability of some known results, which are based, for instance, on the IHR assumption. Finally, we propose a test for the IOR null hypothesis, establishing its consistency and providing a table of simulated p-values. (C) 2022 Elsevier B.V.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50200 - Economics and Business
Result continuities
Project
<a href="/en/project/GA20-16764S" target="_blank" >GA20-16764S: A generalized approach to stochastic dominance: theory and financial applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Statistical Planning and Inference
ISSN
0378-3758
e-ISSN
—
Volume of the periodical
221
Issue of the periodical within the volume
December
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
313-325
UT code for WoS article
000876941400005
EID of the result in the Scopus database
2-s2.0-85131604962