博碩士論文 106221003 完整後設資料紀錄

DC 欄位 語言
DC.contributor數學系zh_TW
DC.creator許平zh_TW
DC.creatorPing Hsuen_US
dc.date.accessioned2020-7-14T07:39:07Z
dc.date.available2020-7-14T07:39:07Z
dc.date.issued2020
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=106221003
dc.contributor.department數學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract考慮三個三維常態分布 ?(?1, ?1), ?(?2, ?2) 及 ?(?3, ?3),令 (?1,...,??) 表一樣本, 其中 ?? = (?1? , ?2? , ?3? ), ? = 1,...,?. 並且 ?(?2, ?2) 為 ?(?1, ?1) 之特例, ?(?3, ?3) 為?(?2, ?2) 之特例. 本文討論下列三個問題之最大概似比檢定. 問題A ??????0 ∶ (?1, … , ?? ) ~ ?(?2, ?2) vs ?1 : (?1, … , ?? ) ~ ?(?1, ?1) 問題B ?0 ∶ (?1, … , ?? ) ~ ?(?3, ?3) vs ?1 : (?1, … , ?? ) ~ ?(?1, ?1) 問題C ?0 ∶ (?1, … , ?? ) ~ ?(?3, ?3) vs ?1 : (?1, … , ?? ) ~ ?(?2, ??)zh_TW
dc.description.abstractConsider three trinormal distributions ?(?1, ?1), ?(?2, ?2) and ?(?3, ?3). Let (?1,...,?? ) be a sample, where ?? = (?1? , ?2? , ?3? ), ? = 1,...,?. Since ?(?3, ?3), ?(?2, ?2) and ?(?1, ?1) are nested, it is interesting to discuss the following three generalized likelihood ratio tests. Problem A ?0 ∶ (?1, … , ?? ) ~ ?(?2, ?2) vs ?1 : (?1, … , ?? ) ~ ?(?1, ?1) Problem B ?0 ∶ (?1, … , ?? ) ~ ?(?3, ?3) vs ?1 : (?1, … , ?? ) ~ ?(?1, ?1) Problem C ?0 ∶ (?1, … , ?? ) ~ ?(?3, ?3) vs ?1 : (?1, … , ?? ) ~ ?(?2, ??)en_US
DC.subject常態分布zh_TW
DC.subject最大概似比檢定zh_TW
DC.title三種三維常態分布之間的最大概似比檢定zh_TW
dc.language.isozh-TWzh-TW
DC.titleMaximum likelihood ratio tests for three trivariate normal distributionsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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