Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/306788
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dc.coverage.spatialStatistics
dc.date.accessioned2020-11-16T08:09:14Z-
dc.date.available2020-11-16T08:09:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/306788-
dc.description.abstractThe current research work relates to Bayesian inference related to a few inequality measures. Out of the many income inequality measures, the Lorenz curve (1905) and Bonferroni curve (1930) are the most popular because of its good statistical properties and straightforward economic interpretation. However, keeping in mind that the notions of poor and rich are relative to each other, Zenga (2007) proposed a new index of income inequality. The Zenga curve and its associated index introduced by Zenga are based on a comparison of the mean income of the poorer income earners with the mean income of the remaining richest part of the population. Motivated by this, we have considered more aspects on the Zenga measure as well as other income inequality measures using Bayesian inference approach. In addition to examining the connection between the Zenga curve and other existing inequality measures, we have obtained the Bayes estimators of Zenga curve as an alternate measure of inequality in context to some important income distributions. Also the Bayesian credible intervals have been obtained in the thesis for the income distributions. newline
dc.format.extentx, 127p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleSome results on Bayesian inference using Zenga curve and related measures
dc.title.alternative
dc.creator.researcherGodura, Prerna
dc.subject.keywordBayesian estimator
dc.subject.keywordBayesian inference
dc.subject.keywordCredible interval
dc.subject.keywordIncome distributions
dc.subject.keywordZenga curve
dc.description.noteBibliography 115-127p. Annexure 109-114p.
dc.contributor.guideArora, Sangeeta and Mahajan, Kalpana K.
dc.publisher.placeChandigarh
dc.publisher.universityPanjab University
dc.publisher.institutionDepartment of Statistics
dc.date.registered2012
dc.date.completed2019
dc.date.awarded
dc.format.dimensions-
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Statistics

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01_title .pdfAttached File39.11 kBAdobe PDFView/Open
02_certificate.pdf700.75 kBAdobe PDFView/Open
03_acknowledgement.pdf46.98 kBAdobe PDFView/Open
04_contents.pdf94.82 kBAdobe PDFView/Open
05_chapter 1.pdf547.31 kBAdobe PDFView/Open
06_chapter 2.pdf477.23 kBAdobe PDFView/Open
07_chapter 3.pdf535.7 kBAdobe PDFView/Open
08_chapter 4.pdf520.26 kBAdobe PDFView/Open
09_chapter 5.pdf696.46 kBAdobe PDFView/Open
10_chapter 6.pdf542.83 kBAdobe PDFView/Open
11_chapter 7.pdf68.8 kBAdobe PDFView/Open
12_appendix.pdf177.71 kBAdobe PDFView/Open
13_bibliography.pdf160.71 kBAdobe PDFView/Open
80_recommendation.pdf68.8 kBAdobe PDFView/Open


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