Extermal Random Forests Tree Based Machine Learning Methods And Extreme Value Theory For Vehicle Insurance Data

Simple item page
dc.contributor.authorEdossa Merga Terefe
dc.date.accessioned2026-02-02T12:32:30Z
dc.date.issued2023-05
dc.identifier.urihttps://etd.hu.edu.et/handle/123456789/482
dc.language.isoen_US
dc.publisherHAWASSA UNIVERSITY
dc.subjectExtreme quantiles
dc.subjectlocal likelihood estimation
dc.subjectquantile regression
dc.subjectrandom forestes
dc.subjectthreshold exceedances.
dc.titleExtermal Random Forests Tree Based Machine Learning Methods And Extreme Value Theory For Vehicle Insurance Data
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
EDOSSA MERGA TEREFE.pdf
Size:
4.23 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Departments of Statistics