| Status | 已发表Published |
| Title | A unified approach to maximum likelihood estimation |
| Creator | |
| Date Issued | 1990 |
| Source Publication | Chinese Journal of Applied Probability and Statistics
 |
| Volume | 6Issue:4Pages:412-418 |
| Abstract | In this paper a unified approach to maximum likelihood estimation (MLE) of parameter of statistical distribuiions by the sequential number theoretic algorithm for optimization (SNTO) proposed by Fang and Wang (1989) is adopted. For illustration of the use of this approach more attention is paid to MLE's of parameters of the Weibull and the beta distributions. A number of examples show that the present method is universally useful and effective. |
| URL | View source |
| Language | 英语English |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/5272 |
| Collection | Research outside affiliated institution |
| Affiliation | 1.Institute of Applied Mathematics, Beijing 2.Beijing Institute of Technology, Beijing |
| Recommended Citation GB/T 7714 | Fang, Kaitai,Yuan, Kehai. A unified approach to maximum likelihood estimation[J]. Chinese Journal of Applied Probability and Statistics, 1990, 6(4): 412-418. |
| APA | Fang, Kaitai, & Yuan, Kehai. (1990). A unified approach to maximum likelihood estimation. Chinese Journal of Applied Probability and Statistics, 6(4), 412-418. |
| MLA | Fang, Kaitai,et al."A unified approach to maximum likelihood estimation". Chinese Journal of Applied Probability and Statistics 6.4(1990): 412-418. |
| Files in This Item: | There are no files associated with this item. | |||||
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