博碩士論文 107225016 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator游韋翔zh_TW
DC.creatorWei-Hsiang YUen_US
dc.date.accessioned2020-7-9T07:39:07Z
dc.date.available2020-7-9T07:39:07Z
dc.date.issued2020
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=107225016
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在工業系統當中,了解系統變異非常重要。雖然不同的處理組合提供了反應曲面波動的訊息,但當系統較為複雜時,不同的處理組合將難以萃取真實系統變異的資訊。一種常見的解決方式為執行重複實驗點,然而重複實驗點卻無法提供反應曲面波動的訊息,而且經常被視為增加成本的一種做法。在本篇論文我們推導出一個期望損失準則,並藉由此準則來建立沒有重複實驗點卻包含系統變異資訊的實驗設計,同時這些設計點也提供反應曲面波動的資訊。zh_TW
dc.description.abstractGrasping the variation of system plays a crucial role in industrial systems. Different treatment combinations provide the information about the fluctuation of response surfaces. However, they are unable to extract the exact information of pure errors if the model is complex. Conducting replicates is one solution. On the other hand, replication does not provide information about response surfaces and is usually treated as a waste. In this thesis, we derive an expected loss criterion and aim at constructing unreplicated designs containing as much information of pure error as possible. These points are capable of exploring the response surface as well.en_US
DC.subject純誤差zh_TW
DC.subject高斯過程zh_TW
DC.subject質量改善zh_TW
DC.subject色散效應zh_TW
DC.subjectPure erroren_US
DC.subjectGaussian processen_US
DC.subjectQuality improvementen_US
DC.subjectDispersion effectsen_US
DC.titleUnreplicated Designs for Random Noise Explorationen_US
dc.language.isoen_USen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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