Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "29e7146f-78d4-4215-8821-af5eb21f60ec"}, "_deposit": {"created_by": 20, "id": "8959", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8959"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008959", "sets": ["1582963436320", "1707206634013"]}, "author_link": [], "control_number": "8959", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Principal Component Analysis of Infant Mprtality in Myanmar (Hsu Hlaing Phyo, 2018)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Infant mortality rate is considered as sensitive indicators of living standard and\nsocio-economic conditions of a country. This study discusses the interdependency and\nrelationship between infant mortality rate and some variables of demographic, socioeconomic\nand housing characteristics for 54 townships in Myanmar by applying\nprincipal component analysis to determine the interdependency of these variables.\nThe analysis produces three main components charactering each by household\u0027s\neducation status, trban society and economic status. In order to find out the effect on\ninfant mortality rate, multiple regression analysis technique is applied by using\ndominated principal components as independent variables, and infant mortality rate as\ndependent variable. Regression analysis explained 72.4% of total variation of infant\nmortality rate in Myanmar, so it is concluded that variables on household\u0027s education\nstafus, living in urban areas, and economic status in household could be main factors\nfor detertnining the infant motrality rate in Myanmar\""}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2023-07-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Hsu  Hlaing Phyo,M.Econ (Statistics)-1.pdf", "filesize": [{"value": "3.3 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 3300000.0, "url": {"url": "https://meral.edu.mm/record/8959/files/Hsu  Hlaing Phyo,M.Econ (Statistics)-1.pdf"}, "version_id": "d39f47de-c202-436f-a3c9-5ac54a6a508c"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Daw Aye Aye Maw"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hsu Hlaing Phyo"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2018-05-01"}, "item_title": "Principal Component Analysis of Infant Mprtality in Myanmar (Hsu Hlaing Phyo, 2018)", "item_type_id": "21", "owner": "20", "path": ["1582963436320", "1707206634013"], "permalink_uri": "https://meral.edu.mm/records/8959", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2023-07-06"}, "publish_date": "2023-07-06", "publish_status": "0", "recid": "8959", "relation": {}, "relation_version_is_last": true, "title": ["Principal Component Analysis of Infant Mprtality in Myanmar (Hsu Hlaing Phyo, 2018)"], "weko_shared_id": -1}
  1. Yangon University of Economics
  1. Yangon University of Economics
  2. M.Econ(Statistics)

Principal Component Analysis of Infant Mprtality in Myanmar (Hsu Hlaing Phyo, 2018)

https://meral.edu.mm/records/8959
https://meral.edu.mm/records/8959
689ebfa3-1ef3-4d81-8c98-fe675b07ea5c
29e7146f-78d4-4215-8821-af5eb21f60ec
None
Preview
Name / File License Actions
Hsu Hsu Hlaing Phyo,M.Econ (Statistics)-1.pdf (3.3 MB)
license.icon
Publication type
Thesis
Upload type
Other
Title
Title Principal Component Analysis of Infant Mprtality in Myanmar (Hsu Hlaing Phyo, 2018)
Language en
Publication date 2018-05-01
Authors
Hsu Hlaing Phyo
Description
Infant mortality rate is considered as sensitive indicators of living standard and
socio-economic conditions of a country. This study discusses the interdependency and
relationship between infant mortality rate and some variables of demographic, socioeconomic
and housing characteristics for 54 townships in Myanmar by applying
principal component analysis to determine the interdependency of these variables.
The analysis produces three main components charactering each by household's
education status, trban society and economic status. In order to find out the effect on
infant mortality rate, multiple regression analysis technique is applied by using
dominated principal components as independent variables, and infant mortality rate as
dependent variable. Regression analysis explained 72.4% of total variation of infant
mortality rate in Myanmar, so it is concluded that variables on household's education
stafus, living in urban areas, and economic status in household could be main factors
for detertnining the infant motrality rate in Myanmar"
Thesis/dissertations
Yangon University of Economics
Daw Aye Aye Maw
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2023-07-06 05:48:04.250016
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL