The role of lower partial moments in stochastic modeling

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The role of lower partial moments in stochastic modeling

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dc.contributor.author Sunoj, S M
dc.contributor.author Maya, S S
dc.date.accessioned 2014-07-25T06:05:49Z
dc.date.available 2014-07-25T06:05:49Z
dc.date.issued 2008-06
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4282
dc.description METRON - International Journal of Statistics 2008, vol. LXVI, n. 2, pp. 223-242 en_US
dc.description.abstract Lower partial moments plays an important role in the analysis of risks and in income/poverty studies. In the present paper, we further investigate its importance in stochastic modeling and prove some characterization theorems arising out of it. We also identify its relationships with other important applied models such as weighted and equilibrium models. Finally, some applications of lower partial moments in poverty studies are also examined en_US
dc.description.sponsorship Cochin University Of Science And Technology en_US
dc.language.iso en en_US
dc.subject Lower partial moments en_US
dc.subject Weighted distributions en_US
dc.subject Equilibrium distributions en_US
dc.subject Income gap ratio. en_US
dc.title The role of lower partial moments in stochastic modeling en_US
dc.type Article en_US


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