Isbn: 9781332881130 - optimum pooling level and factors identi?cation in product prototyping (classic reprint) (3 risultati)

Perfeziona la tua ricerca

  • Libri (3)

  • Nuovo (3)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: Forgotten Books, 2019

    1332881130 / 9781332881130

    • Brossura

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

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 25,10

     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, 2019

    1332881130 / 9781332881130

    • Brossura

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

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 24,49

    EUR 3,89 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

    1332881130 / 9781332881130

    • Brossura
    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 15,76

     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 method to support experimenters in analyzing effects, introducing a technique to set a priori the number of causes to "pool" in the residuals. This approach controls experimental sensitivity and the risks involved in design decisions, making the analysis more reliable and reducing arbitrary handling of data. Increasing the objectivity of the methodology, it eliminates some of the criticisms against the pooling technique. The author illustrates how to perform the "pooling" of residuals in Anova analysis, identifying the optimum level of degree of freedom to pool in the error estimation. Thus, the pooling technique becomes less discretionary and the argued point of arbitrary handling of data is attenuated. The proposed procedure uses the maximization of experiment sensitivity and the control of risks connected to typical design decision making as guiding criterion. 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. …