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Yates Analysis
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High Quality Content by WIKIPEDIA articles! Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels. These are typically called the low and high levels. For computational purposes, the factors are scaled so that the low level is assigned a value of -1 and the high level is assigned a value of +1. These are also commonly referred to as "-" and "+". A full factorial design contains all possible combinations of low/high levels for all the factors. A fractional factorial design contains a carefully chosen subset of these combinations. The criterion for choosing the subsets is discussed in detail in the fractional factorial designs article.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130335601
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Jahr 2010
- EAN 9786130335601
- Format Kartonierter Einband
- ISBN 978-613-0-33560-1
- Titel Yates Analysis
- Untertitel Factorial Experiment, Design of Experiments, Fractional Factorial Design, Frank Yates, Statistical Graphics, Standard Deviation, Student's T-Test, Order of Magnitude
- Herausgeber Betascript Publishers
- Anzahl Seiten 84
- Genre Mathematik
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