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Titlebook: New Statistical Developments in Data Science; SIS 2017, Florence, Alessandra Petrucci,Filomena Racioppi,Rosanna Verd Conference proceeding

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書目名稱New Statistical Developments in Data Science
副標題SIS 2017, Florence,
編輯Alessandra Petrucci,Filomena Racioppi,Rosanna Verd
視頻videohttp://file.papertrans.cn/666/665767/665767.mp4
概述Highlights key statistical methods and recent contributions to data science.Shows how Statistics and Data Analysis techniques can support business operations and provide essential information for deci
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: New Statistical Developments in Data Science; SIS 2017, Florence, Alessandra Petrucci,Filomena Racioppi,Rosanna Verd Conference proceeding
描述.This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017.?Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research.?The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”.??The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics.?Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role..
出版日期Conference proceedings 2019
關鍵詞Data Science; Big Data; Data Analysis; Knowledge Based Methods; Complex Data Analytics; Proceedings; Machi
版次1
doihttps://doi.org/10.1007/978-3-030-21158-5
isbn_softcover978-3-030-21160-8
isbn_ebook978-3-030-21158-5Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Sample Design for the Integration of Population Census and Social Surveys Il Disegno Campionario perveys. The aim of this work is to compare two sampling strategies for the census survey sample. The first comprises pooling together the samples of the main social surveys, while the second consists of an ad hoc sampling design. Different estimation procedures are taken into account in order to compare the two sampling strategies.
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Conference proceedings 2019held in Florence, Italy on June 28-30, 2017.?Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research.?The 35 contributions have been divided into
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Text Mining and Big Textual Data: Relevant Statistical Modelsxpression: correlation is not causation. Application areas are: quantitative and also qualitative assessment, narrative analysis and assessing impact, and baselining and contextualizing, statistically and in related aspects such as visualization.
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Monitoring the Spatial Correlation Among Functional Data Streams Through Moran’s Indexed data are more likely to be similar when measured at nearby locations rather than in distant places. In order to monitor such correlation over time and to deal with huge amount of data, we propose a strategy based on computing the well known Moran’s index and Geary’s index on summaries of the data.
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