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Topics in Theoretical and Applied Statistics [electronic resource] / edited by Giorgio Alleva, Andrea Giommi.

Contributor(s): Series: Studies in Theoretical and Applied StatisticsPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XI, 315 p. 40 illus., 18 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319272740
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
Contents:
Part I Statistical Theory and Methods -- Part II Data Mining and Multivariate Data Analysis -- Part III Sampling and Estimation Methods -- Part IV Social Statistics, Demography and Health Data -- Part V Economic Statistics and Econometrics. .
In: Springer eBooksSummary: This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.
Item type: eBooks
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Part I Statistical Theory and Methods -- Part II Data Mining and Multivariate Data Analysis -- Part III Sampling and Estimation Methods -- Part IV Social Statistics, Demography and Health Data -- Part V Economic Statistics and Econometrics. .

This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.

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