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Contributions to Statistics

Advances in Complex Data Modeling and Computational Methods in Statistics

Editors: Paganoni, Anna Maria, Secchi, Piercesare (Eds.)

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  • ISBN 978-3-319-11149-0
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  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: October 7, 2016
  • ISBN 978-3-319-38537-2
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About this book

The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Inferring Networks from High-Dimensional Data with Mixed Variables

    Pages 1-15

    Abbruzzo, Antonino (et al.)

  • Rounding Non-integer Weights in Bootstrapping Non-iid Samples: Actual Problem or Harmless Practice?

    Pages 17-35

    Andreis, Federico (et al.)

  • Measuring Downsize Reputational Risk in the Oil & Gas Industry

    Pages 37-51

    Arena, Marika (et al.)

  • BarCamp: Technology Foresight and Statistics for the Future

    Pages 53-67

    Azzimonti, Laura (et al.)

  • Using Statistics to Shed Light on the Dynamics of the Human Genome: A Review

    Pages 69-85

    Chiaromonte, Francesca (et al.)

Buy this book

eBook $69.99
price for USA in USD
  • ISBN 978-3-319-11149-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.99
price for USA in USD
Softcover $89.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: October 7, 2016
  • ISBN 978-3-319-38537-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Complex Data Modeling and Computational Methods in Statistics
Editors
  • Anna Maria Paganoni
  • Piercesare Secchi
Series Title
Contributions to Statistics
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-11149-0
DOI
10.1007/978-3-319-11149-0
Hardcover ISBN
978-3-319-11148-3
Softcover ISBN
978-3-319-38537-2
Series ISSN
1431-1968
Edition Number
1
Number of Pages
VIII, 209
Number of Illustrations
14 b/w illustrations, 27 illustrations in colour
Topics