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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48266完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭明燕(Ming-Yen Cheng) | |
| dc.contributor.author | Hsiao-Lin Lin | en |
| dc.contributor.author | 林筱淋 | zh_TW |
| dc.date.accessioned | 2021-06-15T06:50:41Z | - |
| dc.date.available | 2011-02-20 | |
| dc.date.copyright | 2011-02-20 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-02-16 | |
| dc.identifier.citation | [1] Loader, C. R. (1999). Local likelihood and regression. Springer.
[2] Wasserman, L.(2006). All of nonparametric statistics. Springer. [3] 陳順宇(2000)，迴歸分析。台北：華泰書局。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48266 | - |
| dc.description.abstract | 在非參數判別分析中，我們利用區間Logistic迴歸模型 (Local logistic regression)估計貝氏準則的事後機率。在進行區間Logistic迴歸時，我們需要決定平滑參數值，我們取使得GCV值最小的平滑參數，之後再進行區間Logistic迴歸，我們的摸擬實驗發現這樣會得到理想的分類正確機率。 | zh_TW |
| dc.description.abstract | In nonparametric discriminant analysis, we use local logistic regression model to estimate the posterior probability of Bayes rule. Before we carry on local logistic regression, we need to choose the smoothing parameter. We choose the smoothing parameter by minimizing the GCV. A simulation study suggests that this approach performs well. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T06:50:41Z (GMT). No. of bitstreams: 1 ntu-100-R95221028-1.pdf: 170462 bytes, checksum: 91352bda8615f08307e3d4c1d8f26d81 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 內容
1 前言…………………………………………………………………1 2 區間概似函數(Local likelihood function) …………………2 2.1 Logistic 迴歸概似函數 (Logistic regression likelihood function)…………2 2.2 區間Logistic迴歸對數概似函數(Local logistic regression log-likelihood function)…………………4 2.3 CV and GCV (Cross-Validation and Generalized Cross-Validation)…………………………………………6 3 貝氏準則(Bayes rule)……………………………………………8 4 模擬結果 …………………………………………………………10 4.1 實驗數據……………………………………………………10 4.2 實驗結果……………………………………………………11 4.2.1 區間Logistic迴歸……………………………………11 4.2.2 實驗結果………………………………………………11 5 結論 ………………………………………………………………13 參考文獻 | |
| dc.language.iso | zh-TW | |
| dc.subject | 貝氏準則 | zh_TW |
| dc.subject | 非參數 | zh_TW |
| dc.subject | 判別分析 | zh_TW |
| dc.subject | 分類 | zh_TW |
| dc.subject | Logistic 迴歸 | zh_TW |
| dc.subject | Bayes rule | en |
| dc.subject | Logistic regression | en |
| dc.subject | classification | en |
| dc.subject | discriminant analysis | en |
| dc.subject | nonparametric | en |
| dc.title | 區間概似方法在分類判別上的應用 | zh_TW |
| dc.title | An application of local likelihood methods in classification | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 戴政,張淑惠 | |
| dc.subject.keyword | 非參數,判別分析,分類,Logistic 迴歸,貝氏準則, | zh_TW |
| dc.subject.keyword | nonparametric,discriminant analysis,classification,Logistic regression,Bayes rule, | en |
| dc.relation.page | 14 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-02-16 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 數學研究所 | zh_TW |
| 顯示於系所單位： | 數學系 | |
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