Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design
Design of Experiment (DOE) is a process to study the variables that affecting a certain process. Nowadays, there are not many people know about DOE. From my findings in the internet while studying this subject, I have found that DOE is not only be used in manufacturing field, but also used in...
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Universiti Sains Malaysia
2006
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Online Access: | http://eprints.usm.my/58695/1/Development%20Of%20Doe%20Software%20For%20Single-Factor%20Experiments%20The%20Analysis%20Of%20Variance%20Case%20Of%20Completely%20Randomized%20Design_Muzammer%20Zakaria.pdf http://eprints.usm.my/58695/ |
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my.usm.eprints.58695 http://eprints.usm.my/58695/ Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design Zakaria, Muzammer T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Design of Experiment (DOE) is a process to study the variables that affecting a certain process. Nowadays, there are not many people know about DOE. From my findings in the internet while studying this subject, I have found that DOE is not only be used in manufacturing field, but also used in many other fields. Since, the scope of applying DOE is becoming wider, it is not impossible if next few years everyone will study about it. As we can see, software about DOE is very few this days, the users always use the statistical software to solve the DOE problems, which is not so relevant or difficult to handle. Therefore, in this project I try to develop DOE software in case of single factor design of experiment. I have used the C++ Builder program to build this software. Universiti Sains Malaysia 2006-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58695/1/Development%20Of%20Doe%20Software%20For%20Single-Factor%20Experiments%20The%20Analysis%20Of%20Variance%20Case%20Of%20Completely%20Randomized%20Design_Muzammer%20Zakaria.pdf Zakaria, Muzammer (2006) Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
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T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Zakaria, Muzammer Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design |
description |
Design of Experiment (DOE) is a process to study the variables that affecting a
certain process. Nowadays, there are not many people know about DOE. From my
findings in the internet while studying this subject, I have found that DOE is not only be
used in manufacturing field, but also used in many other fields.
Since, the scope of applying DOE is becoming wider, it is not impossible if next
few years everyone will study about it. As we can see, software about DOE is very few
this days, the users always use the statistical software to solve the DOE problems, which
is not so relevant or difficult to handle.
Therefore, in this project I try to develop DOE software in case of single factor
design of experiment. I have used the C++ Builder program to build this software. |
format |
Monograph |
author |
Zakaria, Muzammer |
author_facet |
Zakaria, Muzammer |
author_sort |
Zakaria, Muzammer |
title |
Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design |
title_short |
Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design |
title_full |
Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design |
title_fullStr |
Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design |
title_full_unstemmed |
Development Of Doe Software For Single-Factor Experiments The Analysis Of Variance Case Of Completely Randomized Design |
title_sort |
development of doe software for single-factor experiments the analysis of variance case of completely randomized design |
publisher |
Universiti Sains Malaysia |
publishDate |
2006 |
url |
http://eprints.usm.my/58695/1/Development%20Of%20Doe%20Software%20For%20Single-Factor%20Experiments%20The%20Analysis%20Of%20Variance%20Case%20Of%20Completely%20Randomized%20Design_Muzammer%20Zakaria.pdf http://eprints.usm.my/58695/ |
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1768007918166212608 |
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13.211869 |