{"_buckets": {"deposit": "dcc54e08-425d-430d-b262-0de4d94089f0"}, "_deposit": {"id": "5845", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "5845"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005845", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "1984", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "293", "bibliographicPageStart": "281", "bibliographicVolumeNumber": "37", "bibliographic_titles": [{"bibliographic_title": "地震 第２輯", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "地震 2", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Although several techniques have been proposed for a computer-based automatic detection of P and S onset times of small earthquakes, some seismologists have been felt hesitation in using such onset time data on a routine basis. This is mainly due to a lack of parameters judging precision of detected onset times. This paper aimed to introduce a new mathematical aspect for the confidence interval of onset time estimate and to apply the practical tests.\u003cbr\u003eAfter the autoregressive model parameters have been estimated at two windows immediately preceding and behind P or S onset of an earthquake, the likelihood functions for the two models are defined by assuming normality of probability density function of residual time series. The log-likelihood function of the joint model, which is introduced by using of the above mentioned likelihood functions, gave a basis for onset time picking and statistical inference of a confidence interval time. P and S onset times and their 90% confidence interval were automatically estimated for more than one hundred seismograms of microearthquakes. The result made good comparisons with the manual pickings by several persons. When the signal-to-noise ratio is about 10dB, the 90% confidence interval times are estimated to be 0.2 and 0.8seconds for P and S onsets, respectively.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "公益社団法人 日本地震学会", "subitem_publisher_language": "ja"}, {"subitem_publisher": "SEISMOLOGICAL SOCIETY OF JAPAN", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.4294/zisin1948.37.2_281"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1883-9029", "subitem_source_identifier_type": "EISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "森田 裕一", "creatorNameLang": "ja"}, {"creatorName": "MORITA Yuichi", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "浜口 博之", "creatorNameLang": "ja"}, {"creatorName": "HAMAGUCHI Hiroyuki", "creatorNameLang": "en"}]}]}, "item_title": "自己回帰過程による地震波初動の自動検測とその信頼区間", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "自己回帰過程による地震波初動の自動検測とその信頼区間", "subitem_title_language": "ja"}, {"subitem_title": "自己回帰過程による地震波初動の自動検測とその信頼区間", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5845", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "5845", "relation": {}, "relation_version_is_last": true, "title": ["自己回帰過程による地震波初動の自動検測とその信頼区間"], "weko_shared_id": -1}