Robust Design: Difference between revisions

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{{Reference_Example_Heading3}}
{{Reference_Example_Heading3}}
Your text here.
From the book the results are:
 
{| {{Table}}
 
!Predictor
!Coef
|-
| Constant||62.781
|-
| A||-7.906
|-
| B||1.031
|-
| C||2.031
|-
| AB||-2.156
|-
| AC||-1.406
|-
| BC||-0.969
|-
| ABC||0.594
|-
 
|}
 


{{Reference_Example_Heading4|DOE++}}
{{Reference_Example_Heading4|DOE++}}
Your text here.
Your text here.

Revision as of 16:03, 14 July 2015

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Robust Design

This example validates the robust design inner array with a two level factorial design and out array with a general full factorial design.

Reference Case

Data is from the example on page 1252 in the book Applied linear Statistical Models by Michael H.K, Christopher J.N, John N. William. Li, Fifth Edition, McGraw-Hill, 2005.

Data

Run A B C Noise Factor
60°F 70°F 80°F 90°F
1 1 1 1 48 49 56 63
2 1 -1 -1 50 52 55 63
3 -1 1 1 70 72 77 84
4 -1 -1 -1 42 65 70 73
5 -1 1 -1 61 70 78 79
6 -1 -1 1 65 74 74 77
7 1 -1 1 40 59 63 66
8 1 1 -1 48 51 55 60

.

Result From the book the results are:

Predictor Coef
Constant 62.781
A -7.906
B 1.031
C 2.031
AB -2.156
AC -1.406
BC -0.969
ABC 0.594


Results in DOE++

Your text here.

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