Data completeness of the Kumamoto earthquake sequence in the JMA catalog and its influence on the estimation of the ETAS parameters

• 資料種別: 記事
• タイトル: Data completeness of the Kumamoto earthquake sequence in the JMA catalog and its influence on the estimation of the ETAS parameters
• 著者・編者: Jiancang Zhuang; Yosihiko Ogata; Ting Wang
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2017-02-27
• 出版年（W3CDTF）: 2017-02-27
• タイトル（掲載誌）: EPS : Earth, Planets and Space
• 巻号年月日等（掲載誌）: 69(36)
• 掲載巻: 69(36)
• ISSN（掲載誌）: 1880-5981
• ISSN-L（掲載誌）: 1343-8832
• 本文の言語コード: eng
• DOI: 10.1186/s40623-017-0614-6; https://doi.org/10.1186/s40623-017-0614-6
• 国立国会図書館永続的識別子: info:ndljp/pid/10319687; https://dl.ndl.go.jp/pid/10319687
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: オンライン資料収集制度
• 受理日（W3CDTF）: 2017-04-04T20:19:14+09:00
• 保存日（W3CDTF）: 2017-03-24
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: http://earth-planets-space.springeropen.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/10319651; https://dl.ndl.go.jp/pid/10319651
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
• DOI: 10.1186/s40623-017-0614-6; https://doi.org/10.1186/s40623-017-0614-6
• オンライン閲覧公開範囲: インターネット公開
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/10319687; https://dl.ndl.go.jp/pid/10319687; http://link.springer.com/content/pdf/10.1186/s40623-017-0614-6.pdf; http://link.springer.com/article/10.1186/s40623-017-0614-6/fulltext.html
• 参照: Triggering and decay characteristics of dynamically activated seismicity in Southwest Japan; https://cir.nii.ac.jp/crid/1050001335857612416; Heterogeneity of direct aftershock productivity of the main shock rupture; https://cir.nii.ac.jp/crid/1360004229808402048; Forecasting the magnitude of the largest expected earthquake; https://cir.nii.ac.jp/crid/1360005518351715072; Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression; https://cir.nii.ac.jp/crid/1360009142694787456; Aftershock forecasts based on incomplete earthquake catalogues: ETASI model application to the 2023 SE Türkiye earthquake sequence; https://cir.nii.ac.jp/crid/1360025430664496000; Implementation of a Real‐Time System for Automatic Aftershock Forecasting in Japan; https://cir.nii.ac.jp/crid/1360285713167572992; Heterogeneity of Aftershock Productivity Along the Mainshock Ruptures and Its Advantage in Improving Short‐Term Aftershock Forecast; https://cir.nii.ac.jp/crid/1360298757167515520; Modeling continuous time series with many zeros and an application to earthquakes; https://cir.nii.ac.jp/crid/1360567180061561600; Constraining the magnitude of the largest event in a foreshock–main shock–aftershock sequence; https://cir.nii.ac.jp/crid/1360567184543708160; Modelling and forecasting three-dimensional-hypocentre seismicity in the Kanto region; https://cir.nii.ac.jp/crid/1360567184543786880; Early Forecast of Maximum Amplitude due to Aftershocks by Applying Extreme Value Statistics to a Single Continuous Seismogram; https://cir.nii.ac.jp/crid/1360576118701010944; An updated version of the ETAS model based on multiple change points detection; https://cir.nii.ac.jp/crid/1360580232377404544; Integration of extreme value statistics and Bayesian estimation for early forecasting of aftershock shaking: application to main shock–aftershock sequences in inland Japan; https://cir.nii.ac.jp/crid/1360588379367501824; Statistical Characteristics of Strong Earthquake Sequence in Northeastern Tibetan Plateau; https://cir.nii.ac.jp/crid/1360588380618620160; Forecasting strong subsequent earthquakes in Japan using an improved version of NESTORE machine learning algorithm; https://cir.nii.ac.jp/crid/1360869855133802240; Evaluation of Phenomena Preceding Earthquakes and Earthquake Predictability; https://cir.nii.ac.jp/crid/1390846609814385792
• 参照: Imaging the high‐frequency energy radiation process of a main shock and its early aftershock sequence: The case of the 2008 Iwate‐Miyagi Nairiku earthquake, Japan; https://cir.nii.ac.jp/crid/1360004229800848768; Intermediate‐term forecasting of aftershocks from an early aftershock sequence: Bayesian and ensemble forecasting approaches; https://cir.nii.ac.jp/crid/1360004229802538752; Missing links in earthquake clustering models; https://cir.nii.ac.jp/crid/1360283691684940416; Estimating the ETAS model from an early aftershock sequence; https://cir.nii.ac.jp/crid/1360285704777280384; Immediate and updated forecasting of aftershock hazard; https://cir.nii.ac.jp/crid/1360285708259870720; Decomposition of Seasonality and Long‐term Trend in Seismological Data: A Bayesian Modelling of Earthquake Detection Capability; https://cir.nii.ac.jp/crid/1360285710450361856; Poissonian and negative binomial modelling of earthquake time series in the Aegean area; https://cir.nii.ac.jp/crid/1360292618512322048; Seismicity rate immediately before and after main shock rupture from high‐frequency waveforms in Japan; https://cir.nii.ac.jp/crid/1360292619279566336; Seismicity Analysis through Point-process Modeling: A Review; https://cir.nii.ac.jp/crid/1360292621485083904; Low detection capability of global earthquakes after the occurrence of large earthquakes: investigation of the Harvard CMT catalogue; https://cir.nii.ac.jp/crid/1360574094080573440; Predicting the 1975 Haicheng Earthquake; https://cir.nii.ac.jp/crid/1360574095046317696; Forecasting large aftershocks within one day after the main shock; https://cir.nii.ac.jp/crid/1360846641785240704; Estimation of completeness magnitude considering daily variation in earthquake detection capability; https://cir.nii.ac.jp/crid/1360848659519803520; Variable Star Symbols for Seismicity Plots; https://cir.nii.ac.jp/crid/1360855569209395968; Foreshock Patterns Preceding Great Earthquakes in the Subduction Zone of Chile; https://cir.nii.ac.jp/crid/1360855569428382080; Statistical distributions of earthquake numbers: consequence of branching process; https://cir.nii.ac.jp/crid/1362262945128379392; Omori-Utsu Law c-Values Associated with Recent Moderate Earthquakes in Japan; https://cir.nii.ac.jp/crid/1362544419915044864; Statistical model for standard seismicity and detection of anomalies by residual analysis; https://cir.nii.ac.jp/crid/1362544420049859456; Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes; https://cir.nii.ac.jp/crid/1363388845170625024; On Rescaled Poisson Processes and the Brownian Bridge; https://cir.nii.ac.jp/crid/1363388845552237312; Rate‐Dependent Incompleteness of Earthquake Catalogs; https://cir.nii.ac.jp/crid/1363670319067815680; Modeling the foreshock sequence prior to the 2011, <i>M_W</i>9.0 Tohoku, Japan, earthquake; https://cir.nii.ac.jp/crid/1363670320386380416; Analysis of the Completeness Magnitude and Seismic Network Coverage of Japan; https://cir.nii.ac.jp/crid/1363951793836264832; NUMERICAL TESTS ON CATALOG‐BASED METHODS TO ESTIMATE MAGNITUDE OF COMPLETENESS; https://cir.nii.ac.jp/crid/1364233268312510336; Quantifying early aftershock activity of the 2004 mid‐Niigata Prefecture earthquake (<i>M</i>_<i>w</i>6.6); https://cir.nii.ac.jp/crid/1364233269000901760; Space-Time Point-Process Models for Earthquake Occurrences; https://cir.nii.ac.jp/crid/1364233269943288704; The centenary of the Omori formula for a decay of aftershock activity; https://cir.nii.ac.jp/crid/1390282681486843264
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja
• 書誌ID（NDLBibID）: 10319687; http://id.ndl.go.jp/bib/10319687