Language: English
Published by Singapore, Springer., 2016
ISBN 10: 9811025932 ISBN 13: 9789811025938
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XVI, 222 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. ICSA Book Series in Statistics. Sprache: Englisch.
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Published by Fujian Science and Technology Publishing House, China, 2000
ISBN 10: 7533517830 ISBN 13: 9787533517830
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Add to basketCondition: Very Good. 230, 202 photos, text figs. 265x190mm. HB. Vg in d/w. Signed by first author. Text Chinese with English summary (descriptions of new taxa and keys). Part II of Monograph Catalog on Braconidae of China. All known species described and most illustrated. 2 genera and 88 species (including 53 new species). Identification keys. [9787533517830].
Condition: New. pp. 238 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Advanced Statistical Methods in Data Science | Ding-Geng Chen (u. a.) | Taschenbuch | xvi | Englisch | 2018 | Springer | EAN 9789811096624 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811096627 ISBN 13: 9789811096624
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2016
ISBN 10: 9811025932 ISBN 13: 9789811025938
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
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Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031083318 ISBN 13: 9783031083310
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