頁籤選單縮合
題 名 | Testing the Goodness-of-Fit of Logistic Models Based on Local Linear Smoothing |
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作 者 | Lin,Kuo-chin; Chen,Yi-ju; | 書刊名 | International Journal of Information and Management Sciences |
卷 期 | 16:2 2005.06[民94.06] |
頁 次 | 頁83-95 |
分類號 | 319.51 |
關鍵詞 | Binary data; Goodness-of-fit; Cross-validation; Local linear smoother; Logistic regression; |
語 文 | 英文(English) |
英文摘要 | For logistic regression models, a new test statistic for testing H0:π(x)= π0(x) based on nonparametric local linear regression technique is proposed. Smoothing methods can be used to define a goodness-of-fit test that does not suffer from the drawbacks of current goodness-of-fit methods for logistic models. The motivation of applying local smoother is explained. Mean and variance of the proposed test statistic are given in explicit expression. The properties of the test statistic are also discussed by simulation. |
本系統中英文摘要資訊取自各篇刊載內容。