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Titlebook: Parametric Statistical Change Point Analysis; Jie Chen,A. K. Gupta Book 20001st edition Springer Science+Business Media New York 2000 Econ

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發(fā)表于 2025-3-21 19:55:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Parametric Statistical Change Point Analysis
編輯Jie Chen,A. K. Gupta
視頻videohttp://file.papertrans.cn/742/741173/741173.mp4
圖書封面Titlebook: Parametric Statistical Change Point Analysis;  Jie Chen,A. K. Gupta Book 20001st edition Springer Science+Business Media New York 2000 Econ
描述Recently there has been a keen interest in the statistical analysis of change point detec- tion and estimation. Mainly, it is because change point problems can be encountered in many disciplines such as economics, finance, medicine, psychology, geology, litera- ture, etc. , and even in our daily lives. From the statistical point of view, a change point is a place or time point such that the observations follow one distribution up to that point and follow another distribution after that point. Multiple change points problem can also be defined similarly. So the change point(s) problem is two fold: one is to de- cide if there is any change (often viewed as a hypothesis testing problem), another is to locate the change point when there is a change present (often viewed as an estimation problem). The earliest change point study can be traced back to the 1950s. During the fol- lowing period of some forty years, numerous articles have been published in various journals and proceedings. Many of them cover the topic of single change point in the means of a sequence of independently normally distributed random variables. Another popularly covered topic is a change point in regression models
出版日期Book 20001st edition
關鍵詞Economics; Processing; Statistica; form; geology; information; likelihood; medicine; psychology; signal proce
版次1
doihttps://doi.org/10.1007/978-1-4757-3131-6
isbn_ebook978-1-4757-3131-6
copyrightSpringer Science+Business Media New York 2000
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:30:04 | 只看該作者
Jie Chen,A. K. Guptaund Studenten. Diese Personen, welche in etwa 40,7 Millionen Haushalten lebten, bedienten sich in unterschiedlichem Ma?e der Einrichtungen des ?ffentlichen Personennahverkehrs, dessen Umfang und Bedeutung in diesem Kapitel dargestellt werden soll.
板凳
發(fā)表于 2025-3-22 02:58:33 | 只看該作者
Preliminaries,many practical situations a statistician is faced with the problem of detecting the number of change points or jumps and their locations. This is known as the change point problem, and its impact may be seen in a large number of practical problems from many disciplines.
地板
發(fā)表于 2025-3-22 04:39:48 | 只看該作者
Jie Chen,A. K. GuptaThe good news of the last quarter of the 20th century is that so many countries have adopted the liberal democratic regime form in the course of this relatively short span of time. In 1974, the percentage of states describing themselves as liberal democratic was below 30 per cent. In 2000, it is well above 60 per cent.
5#
發(fā)表于 2025-3-22 11:37:58 | 只看該作者
https://doi.org/10.1007/978-1-4757-3131-6Economics; Processing; Statistica; form; geology; information; likelihood; medicine; psychology; signal proce
6#
發(fā)表于 2025-3-22 16:19:14 | 只看該作者
7#
發(fā)表于 2025-3-22 19:55:06 | 只看該作者
Multivariate Normal Model,In Chapter 2, we have discussed the inference about change point(s) for univariate normal model under different situations. In this chapter, we are going to investigate change point(s) problems when the underlying distribution is multivariate normal distribution.
8#
發(fā)表于 2025-3-22 23:41:02 | 只看該作者
Gamma Model,In the previous chapters, we introduced the multiple change-point problem for both univariate and multivariate Gaussian models. Now, let us turn our attention away from Gaussian models, and study another important model, the gamma distribution.
9#
發(fā)表于 2025-3-23 01:25:28 | 只看該作者
Discrete Models,In previous chapters, we have focused on the change point problem for various continuous probability models. In this chapter we will study the change point problem for two discrete probability models, namely, Binomial and Poisson models.
10#
發(fā)表于 2025-3-23 07:21:24 | 只看該作者
Jie Chen,A. K. Guptantrol systems, it provides the basis for the further development of driver assistance systems which support the driver in the task of.driving the vehicle. This applies to an even greater extent to autonomous vehicles. Electromechanical steering and steerby-wire systems are one solution available. At
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