Asymptotic Performance evaluation of the location and Logistic Classification Models For Mixed variable Ratios

Simple item page
dc.contributor.authorBaah, Philemon
dc.date.accessioned2016-02-18T13:53:01Z
dc.date.accessioned2023-04-19T22:17:05Z
dc.date.available2016-02-18T13:53:01Z
dc.date.available2023-04-19T22:17:05Z
dc.date.issued2012-06-18
dc.descriptionA thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the degree of Master of Philosophy (Applied Mathematics), College of Science.en_US
dc.description.abstractWe investigate the asymptotic performance of the Location Model for two populations (Π, i=1,2)given different combinations of continuous (p) to categorical (q) variables and increasing group centroid separation function(δ = 1,2,3)...en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/8248
dc.language.isoenen_US
dc.titleAsymptotic Performance evaluation of the location and Logistic Classification Models For Mixed variable Ratiosen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Philemon Baah.pdf
Size:
18.68 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
license.txt
Size:
1.73 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
College of Science