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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Main Author: Zakaria, Muzammer
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2006
Subjects:
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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spelling 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)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
spellingShingle 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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score 13.211869