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{ "item_title" : "Studies in Theoretical and Applied Statistics", "item_author" : [" Cira Perna", "Monica Pratesi", "Anne Ruiz-Gazen "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/973/905/3319739050_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Studies in Theoretical and Applied Statistics|Cira Perna

Studies in Theoretical and Applied Statistics : Sis 2016, Salerno, Italy, June 8-10

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Overview

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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Details

  • ISBN-13: 9783319739052
  • ISBN-10: 3319739050
  • Publisher: Springer
  • Publish Date: April 2018
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.5 pounds
  • Page Count: 347

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