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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Excerpt from Optimum Pooling Level and Factors Identi?cation in Product Prototyping

The needs of interpreting the physical phenomena plays a main role in all development activities, particularly in the launch of new products and processes where the engineers confront problems not yet investigated. The typical approach followed in these stages are simulation and experimentation. While the first approach is effective only if we already have knowledge of the singular events composing the phenomenon and we are able to express them in algorithms, the second is inevitable if we do not have any previous information and then the only alternative is to observe the reality through experimentation. This form of investigation is well known in the industry and already has many utilizations. However the complex statistical tools involved and the recent introduction of different oriented techniques contribute to make their correct application more confused and unclear. Thus, the industrial needs encouraged factions of experimental design experts to develop simpler and less expensive techniques, in this way, dividing the studious into different confronting parts. One result of this new tendency is the creation of additional room for subsequent improvement.

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�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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