Optimum Pooling Level and Factors Identi?cation in Product Prototyping (Classic Reprint) - Couverture souple

Falco, Massimo De

9781332881130: Optimum Pooling Level and Factors Identi?cation in Product Prototyping (Classic Reprint)

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ISBN 10 : 1332881130 ISBN 13 : 9781332881130

Editeur : Forgotten Books, 2018

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Improve product testing with a proven method that sharpens experiment results. This book explains how to design and analyze experiments when there are limits on trials, helping you make safer, more informed decisions in product prototyping.

The approach focuses on an explicit way to pool parts of the experimental error to maximize sensitivity. It also shows how to balance risks of wrong decisions with practical constraints, so you can plan effective tests without overburdening development.

How pooling error degrees of freedom can improve the ability to detect real effects

Ways to control type I and type II errors when choosing between design options

How to determine sample sizes and organize experiments under resource limits

Steps to apply the method to real product testing scenarios

Ideal for readers who design and evaluate prototypes, especially in environments with tight budgets and timelines.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Forgotten Books
Date d'�dition: 2018
Langue: anglais
ISBN 10: 1332881130
ISBN 13: 9781332881130
Reliure: Broch�
Nombre de pages: 30
Coordonn�es du fabricant: Copytech (UK) Ltd, Trading as Printondemand-worldwide.com
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Optimum Pooling Level and Factors Identi� cation in Product Prototyping

Massimo de Falco

Edit� par Forgotten Books, 2018

ISBN 10 : 1332881130 ISBN 13 : 9781332881130

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Vendeur : Forgotten Books, London, Royaume-Uni

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Paperback. Etat : 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. N� de r�f. du vendeur 9781332881130_0

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