{"_buckets": {"deposit": "eb5f385b-0003-49fc-8e70-32946804183b"}, "_deposit": {"created_by": 20, "id": "8450", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8450"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008450", "sets": ["1582963436320", "1707206634013"]}, "author_link": [], "control_number": "8450", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "An analysis of foreign direct investment,exports and economic growth in Myanmar (War War Maw Oo, 2019)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "ABSTRACT\nRoad accident in Myanmar is the thirteenth major cause of death after kidney\ndisease and diarrhoea disease. The ultimate goal of this thesis is to use Poisson\nregression to fit a model to the secondary data which was obtained from No (2) Office\nof Traffic Police (Yangon) on the number of people killed and injured by road\naccidents in Yangon city from 2014-2018. The type of causes of accidental crash,\ntownships with the highest rate of road accident in Yangon against time (in years) are\nexplored in this study. The result of Poisson analysis showed that there was over\ndispersion in the data. Negative binomial regression analysis was therefore used to\nvalidate the Poisson regression model. It was clear that the negative binomial\nregression model was the best fit for the data but for the occurrence of number of\npeople who were killed and injured given the selected townships (Hlaingtharyar,\nInsein, Mayangon and Mingalardon) and types of crash causes, Poisson regression\nmodel is fitter than Negative binomial regression model for that data analysis. In the\nlong run, the number of people in both killed and injured in Yangon would be\ngradually decreased. Finally, the result showed that the driver fault and over speeding\nwere the main causes of death in road traffic accidents in Yangon (Municipal Area)."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-12-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "War War Maw Oo, M.Econ.Stats. Roll.11, 2019.pdf", "filesize": [{"value": "1.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 1100000.0, "url": {"url": "https://meral.edu.mm/record/8450/files/War War Maw Oo, M.Econ.Stats. Roll.11, 2019.pdf"}, "version_id": "b5ed60e8-d638-4c47-9c11-3afa8b0fd3a0"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economis", "subitem_supervisor(s)": [{"subitem_supervisor": "Daw Aye Aye Maw"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "War War Maw Oo"}]}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-11-01"}, "item_title": "An analysis of foreign direct investment,exports and economic growth in Myanmar (War War Maw Oo, 2019)", "item_type_id": "21", "owner": "20", "path": ["1582963436320", "1707206634013"], "permalink_uri": "https://meral.edu.mm/records/8450", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2022-12-03"}, "publish_date": "2022-12-03", "publish_status": "0", "recid": "8450", "relation": {}, "relation_version_is_last": true, "title": ["An analysis of foreign direct investment,exports and economic growth in Myanmar (War War Maw Oo, 2019)"], "weko_shared_id": -1}