
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Bi-seasonal discrete time risk model with income rate two

Bi-seasonal discrete time risk model with income rate two
This paper proceeds an approximate calculation of ultimate time survival probability for bi-seasonal discrete time risk model when premium rate equals two. The same model with income rate equal to one was investigated in 2014 by Damarackas and Šiaulys. In general, discrete time and related risk models deal with possibility for a certain version of random walk to hit a certain threshold at least once in time. In this research, the mentioned threshold is the line $u+2t$ and random walk consists from two interchangeably occurring independent but not necessarily identically distributed random variables. Most of proved theoretical statements are illustrated via numerical calculations. Also, there are raised a couple of conjectures on a certain recurrent determinants non-vanishing.
- Czech Academy of Sciences Czech Republic
- Institute of Mathematics Poland
- National Academy of Sciences of Belarus Belarus
- VILNIAUS UNIVERSITETAS
- Institute of Mathematics Viet Nam
Probability (math.PR), FOS: Mathematics, 91G05, 60G50, 60J80, Mathematics - Probability
Probability (math.PR), FOS: Mathematics, 91G05, 60G50, 60J80, Mathematics - Probability
6 Research products, page 1 of 1
- 1991IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
- 2007IsAmongTopNSimilarDocuments
- 2015IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
