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Herausgeber: 
  • Pier Luigi Conti
  • Fulvia Mecatti
  • Maria Giovanna Ranalli
  • Contributions to Sampling Statistics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2016  
    Genre:  Schulbücher 
     
    Actuarial Mathematics / Actuarial science / Actuarial Sciences / B / biotechnology / Mathematical & statistical software / Mathematical statistics / Mathematics
    ISBN:  9783319358574 
    EAN-Code: 
    9783319358574 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Contributions to Statistics  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  3752 gr 
    Seiten:  233 
    Illustration:  VIII, 233 p. 17 illus., 9 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. ITACOSM is the bi-annual meeting of the Survey Sampling Group S 2 G of the Italian Statistical Society, intended as an international  forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research papers carefully selected from both invited and contributed sessions of the conference. The whole book appears to be a relevant contribution to various key aspects of sampling methodology and techniques; it deals with some hot topics in sampling theory, such as calibration, quantile-regression and multiple frame surveys, and with innovative methodologies in important topics of both sampling theory and applications. Contributions cut across current sampling methodologies such as interval estimation for complex samples, randomized responses, bootstrap, weighting, modeling, imputation, small area estimation and effective use of auxiliary information; applications cover a wide and enlarging range of subjects in official household surveys, Bayesian networks for measurement error, auditing, business and economic surveys, geostatistics and  agricultural statistics. The book is an updated, high level reference addressed to researchers, professionals and practitioners in many fields.

      



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