{"_buckets": {"deposit": "44652d40-4a94-492e-8589-e65230f2f701"}, "_deposit": {"created_by": 20, "id": "8343", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8343"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008343", "sets": ["1707206634013"]}, "author_link": [], "control_number": "8343", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Application o Principal Component Analysis To solve Multicollinearity in Sesame Production of Myanmar (1995-2020) (Kay Thi Htun, 2022)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The aim of this study is to apply the principal component analysis in solving\nthe problem of multicollinearity for sesame production of Myanmar (1995-2020) with\nfive explanatory variables which are sown acreage, harvested acreage, area of crops\nunder irrigation, agricultural loan and quality seeds. The situations of these\nexplanatory variables were described by using descriptive statistics. According to the\ncorrelation matrix of explanatory variables, it was found that these are highly\ncorrelated themselves. Since the symptoms of collinearity occur between sown\nacreage and harvested acreage. Thus, principal component analysis was applied to\novercome multicollinearity problem. It was found that the two principal components.\nThe first component consisted of sown acreage and harvested acreage, then quality\nseeds, agricultural loan and irrigation were included in the second component.\nAccording to the results of sesame production after removal of multicollinearity, sown\nacreage and harvested acreage are positively effect on sesame production and the\nexplanatory variables can explain 84.2 % of variation in sesame production of\nMyanmar."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-10-21"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Kay Thi Htun, M.Econ (Stats) - 3.pdf", "filesize": [{"value": "542 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 542000.0, "url": {"url": "https://meral.edu.mm/record/8343/files/Kay Thi Htun, M.Econ (Stats) - 3.pdf"}, "version_id": "d84e9f9f-ba88-47e5-beb5-7aae6dde257c"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Daw Thida Win"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Kay Thi Htun"}]}]}, "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": "2022-09-01"}, "item_title": "Application o Principal Component Analysis To solve Multicollinearity in Sesame Production of Myanmar (1995-2020) (Kay Thi Htun, 2022)", "item_type_id": "21", "owner": "20", "path": ["1707206634013"], "permalink_uri": "https://meral.edu.mm/records/8343", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2022-10-21"}, "publish_date": "2022-10-21", "publish_status": "0", "recid": "8343", "relation": {}, "relation_version_is_last": true, "title": ["Application o Principal Component Analysis To solve Multicollinearity in Sesame Production of Myanmar (1995-2020) (Kay Thi Htun, 2022)"], "weko_shared_id": -1}