| 書目名稱 | Nonparametric Methods in Change Point Problems |
| 編輯 | B. E. Brodsky,B. S. Darkhovsky |
| 視頻video | http://file.papertrans.cn/668/667827/667827.mp4 |
| 叢書名稱 | Mathematics and Its Applications |
| 圖書封面 |  |
| 描述 | The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re- quirements concerning the reliability of statistical decisions, the accuracy of math- ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De- tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object‘s behavior, to create mathematical models for each seg- ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witness |
| 出版日期 | Book 1993 |
| 關(guān)鍵詞 | computer; parametric statistics; probability; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-94-015-8163-9 |
| isbn_softcover | 978-90-481-4240-8 |
| isbn_ebook | 978-94-015-8163-9 |
| copyright | Springer Science+Business Media B.V. 1993 |
|Archiver|手機版|小黑屋|
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