Isbn: 9781333644703 - a statistical viewpoint on the theory of evidence (classic reprint) (3 risultati)

Perfeziona la tua ricerca

  • Libri (3)

  • Nuovo (3)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333644701 / 9781333644703

    • Brossura

    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 24,82

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333644701 / 9781333644703

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 24,29

    EUR 3,84 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Altre immagini

    Lingua: Inglese

    Editore: Forgotten Books, 2018

    1333644701 / 9781333644703

    • Brossura
    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 15,44

     Spedizione gratuita 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    Paperback. Condizione: New. Print on Demand. This book offers a novel viewpoint on the Dempster/Shafer Theory of Evidence, a notable framework for reasoning with uncertainty. The author argues that the theory can be understood as a form of statistical analysis of expert opinions. This perspective simplifies the interpretation of the theory's core combination formulas, revealing that they represent Bayesian updating applied to boolean assertions. The book also proposes an alternative formulation that employs probabilistic opinions of experts, leading to simpler formulas and fewer variables while maintaining the essential idea of tracking expert opinion statistics. The combination formula, rather than extending Bayes' theorem for combining probabilities, contains nothing more than Bayes' formula applied to boolean assertions. By treating the formulation as algebraic structures, and by treating opinions as the Statistics on a collection of opinions, the book provides canonical examples with which to construct states of belief to analogous real situations. This approach provides a deeper theoretical basis for the application of canonical examples to probabilistic situations with uncertainties. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.