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Models for Data Analysis

av Eugenio Brentari

del av Springer Proceedings in Mathematics & Statistics-serien

Models for Data Analysis av Eugenio Brentari
Om Models for Data Analysis

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants. There were plenary sessions as well as specialized and solicited and contributed sessions. This volume collects a selection of twenty extended contributions covering a wide area of applied and theoretical issues, according to the modern trends in statistical sciences. Only to mention some topics, there are papers on modern textual analysis, sensorial analysis, social inequalities, themes on demography, modern modeling of functional data and high dimensional data, and many other topics. This volume is addressed to academics, PhD students, professionals and researchers in applied and theoretical statistical models for data analysis.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783031158841
  • Format:
  • Inbunden
  • Sidor:
  • 328
  • Utgiven:
  • 21. februari 2023
  • Utgåva:
  • 23001
  • Mått:
  • 160x23x241 mm.
  • Vikt:
  • 718 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 4. december 2024

Om Eugenio Brentari

Se alla böcker av Eugenio Brentari

Beskrivning av Models for Data Analysis

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants. There were plenary sessions as well as specialized and solicited and contributed sessions.
This volume collects a selection of twenty extended contributions covering a wide area of applied and theoretical issues, according to the modern trends in statistical sciences. Only to mention some topics, there are papers on modern textual analysis, sensorial analysis, social inequalities, themes on demography, modern modeling of functional data and high dimensional data, and many other topics.
This volume is addressed to academics, PhD students, professionals and researchers in applied and theoretical statistical models for data analysis.

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