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標(biāo)題: Titlebook: Nonparametric Methods in Change Point Problems; B. E. Brodsky,B. S. Darkhovsky Book 1993 Springer Science+Business Media B.V. 1993 compute [打印本頁]

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書目名稱Nonparametric Methods in Change Point Problems影響因子(影響力)




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書目名稱Nonparametric Methods in Change Point Problems網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Nonparametric Methods in Change Point Problems讀者反饋學(xué)科排名





作者: 啪心兒跳動    時間: 2025-3-21 20:53
ult 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 "compres
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Book 1993ll 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
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作者: 試驗(yàn)    時間: 2025-3-23 05:09
Preliminary Considerations,In this section, we present some necessary results from the theory of random processes and mathematical statistics. The proofs of all statements presented here can be found in well-known textbooks on probability and statistics.
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Proofs, New Results and Technical Details,In this chapter we present some lengthy proofs and other technical details concerning algorithms and program packages for change-point detection as well as rather new results on change-point regression analysis.
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978-90-481-4240-8Springer Science+Business Media B.V. 1993
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Mathematics and Its Applicationshttp://image.papertrans.cn/n/image/667827.jpg
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https://doi.org/10.1007/978-94-015-8163-9computer; parametric statistics; probability; statistics
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, Change-Point Problems,llowing way: given a realisation of a random sequence X, the hypothesis of its stochastic homogeneity has to be proved. If this hypothesis is rejected, then estimates of change-points have to be obtained. Following the abovementioned general approach to disorder detection (see 2.4), almost everywher
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