{"created":"2020-03-08T15:35:41.716073+00:00","id":1249,"links":{},"metadata":{"_buckets":{"deposit":"a753c8be-b964-41ea-abf5-d560058d81fd"},"_deposit":{"id":"1249","owners":[],"pid":{"revision_id":0,"type":"recid","value":"1249"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/1249","sets":["1582963436320","1582963436320:1582965639643"]},"author_link":[],"communities":["yueco"],"control_number":"1249","item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Detection of Outliers in Wheat Production of Myanmar, Vol.2, No.1  (Mya Thandar, 2010)","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Outliers are commonplace in statistical data analysis . Noting that the effects of outliers in a time series could be serious, the presence of the outliers has significant influence on the analysis of the series. Direct use of conventional statistical time series analysis may occasionally ignore the fact that the observed time series no longer covers the time period with the same condition. Consequently , it leads to use of the inadequate model and to the biased estimates of the parameters in time series analysis.. Therefore, the consideration of outliers in a time series is a crucial aspect of time series analysis. This study reviews outliers in a time series, including definitions and types of outliers, ARIMA models for time series with outliers, as well as likelihood ratio test for detection of outliers in a time series. In addition, the detection and identification of outliers in wheat production series of Myanmar is also empirically investigated as an illustration in this study ."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"outlier"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-05-05"}],"displaytype":"preview","filename":"Mya Thandar.pdf","filesize":[{"value":"9914 Kb"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/1249/files/Mya Thandar.pdf"},"version_id":"4f6cbc05-694d-4710-91da-a34e358f6993"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_journal_title":"Yangon University of Economics Research Journal"}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"Yangon Institute of Economics"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"MYA THANDAR"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Other"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Journal article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2010-01-01"},"item_title":"Detection of Outliers in Wheat Production of Myanmar, Vol.2, No.1  (Mya Thandar, 2010)","item_type_id":"21","owner":"1","path":["1582963436320","1582965639643"],"publish_date":"2020-03-05","publish_status":"0","recid":"1249","relation_version_is_last":true,"title":["Detection of Outliers in Wheat Production of Myanmar, Vol.2, No.1  (Mya Thandar, 2010)"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2024-02-27T08:12:13.674561+00:00"}