1. Shodhganga@INFLIBNET
  2. Manonmaniam Sundaranar University
  3. Department of Statistics
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/173863
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2017-10-09T05:58:55Z-
dc.date.available2017-10-09T05:58:55Z-
dc.identifier.urihttp://hdl.handle.net/10603/173863-
dc.description.abstractCensoring is a form of missing data problem which is common newline
dc.format.extentvi, 131
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA study on least absolute deviations estimation for the regression model
dc.title.alternative
dc.creator.researcherSanjith B
dc.subject.keyworddevelop weighted
dc.subject.keywordidentically distributed
dc.subject.keywordparameter estimates
dc.description.note
dc.contributor.guideElangovan R
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Statistics
dc.date.registerednd
dc.date.completed2016
dc.date.awardednd
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Statistics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File54.75 kBAdobe PDFView/Open
02_certificate.pdf23.76 kBAdobe PDFView/Open
03_declatation.pdf22.84 kBAdobe PDFView/Open
04_acknowledgement.pdf33.45 kBAdobe PDFView/Open
05_contents.pdf17.29 kBAdobe PDFView/Open
06_chapter1.pdf52.62 kBAdobe PDFView/Open
07_chapter2.pdf219.82 kBAdobe PDFView/Open
08_chapter3.pdf198.31 kBAdobe PDFView/Open
09_chapter4.pdf280.26 kBAdobe PDFView/Open
10_chapter5.pdf131.32 kBAdobe PDFView/Open
11_chapter6.pdf319.05 kBAdobe PDFView/Open
12_summary and conclusion.pdf10.52 kBAdobe PDFView/Open
13_bibliography.pdf109.78 kBAdobe PDFView/Open
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