Studies in Theoretical and Applied Statistics : SIS 2016, Salerno, Italy, June 8-10. 1st ed. 2018

種類:

電子ブック

責任表示:

edited by Cira Perna, Monica Pratesi, Anne Ruiz-Gazen

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Perna, Cira.
• Pratesi, Monica.
• Ruiz-Gazen, Anne.
• SpringerLink (Online service)

シリーズ名:

Springer Proceedings in Mathematics & Statistics ; 227

ISBN:

9783319739069 [3319739069]    

注記:

1 C. Favre-Martinoz et al., Robustness in survey sampling using the conditional bias approach with R implementation -- 2 F. Andreis et al., Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach -- 3 M. L. Aversa et al., Age management in Italian companies. Findings from two INAPP surveys -- 4 M. Calzaroni et al., Generating high quality administrative data: new technologies in a national statistical reuse perspective -- 5 T. Tuoto et al., Exploring solutions for linking Big Data in Official Statistics -- 6 C. Franceschini and N. Loperfido, An Algorithm for Finding Projections with Extreme Kurtosis -- 7 L. Egidi et al., Maxima Units Search (MUS) algorithm: methodology and applications -- 8 D. Passaretti and D. Vistocco, DESPOTA: an algorithm to detect the partition in the extended hierarchy of a dendrogram -- 9 F. Pauli, The p-value case, a review of the debate: issues and plausible remedies -- 10 J. Koskinen et al., A dynamic discrete-choice model fo
This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.

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