DOI
stands for Digital Object Identifier
（
D
igital
O
bject
I
dentifier
）
,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
「
http://dx.doi.org/
」
before a DOI.
For instance, if the DOI of an article is
10.5297/ser.1201.002
, you can link persistently to the article by entering the following link in your browser:
http://dx.doi.org/
10.5297/ser.1201.002
。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
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When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
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張琇雅 , Masters Advisor：陳麗菁
繁體中文
DOI：
10.6846/TKU.2015.00307
拔靴法 ； 病例對照研究 ； 適合度檢定 ； 資訊矩陣檢定 ； 多元羅吉斯迴歸 ； 半參數最大概似估計量 ； Bootstrap method ； case-control study ； goodness-of-fit test ； information matrix test ； multinomial logistic regression ； semiparametric maximum likelihood estimator
- 許育愷 (2014)。病例對照研究中多元羅吉斯迴歸模型的適合度檢定。淡江大學統計學系應用統計學研究所碩士論文。
連結：
- Bull, S. B., and Donner, A. (1987). The efficiency of multinomial logistic regression compared with multiple group discriminant analysis. Journal of the American Statistical Association, 82, pp. 1118-1122.
連結：
- Chernoff, H., and Lehmann, E. L. (1954). The use of maximum likelihood estimates in χ^2 tests for goodness of fit. The Annals of Mathematical Statistics, 25, pp. 579-586.
連結： - Efron, B. (1979). Bootstrap methods: another look at the jackknife. The annals of Statistics, pp. 1-26.
連結： - Fagerland, M. W., Hosmer, D. W., and Bofin, A. M. (2008). Multinomial goodness‐of‐fit tests for logistic regression models. Statistics in medicine, 27, pp. 4238-4253.
連結：
