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] 作者: 手或腳 時間: 2025-3-21 16:40
書目名稱Nonparametric Methods in Change Point Problems影響因子(影響力)
書目名稱Nonparametric Methods in Change Point Problems影響因子(影響力)學(xué)科排名
書目名稱Nonparametric Methods in Change Point Problems網(wǎng)絡(luò)公開度
書目名稱Nonparametric Methods in Change Point Problems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Nonparametric Methods in Change Point Problems被引頻次
書目名稱Nonparametric Methods in Change Point Problems被引頻次學(xué)科排名
書目名稱Nonparametric Methods in Change Point Problems年度引用
書目名稱Nonparametric Methods in Change Point Problems年度引用學(xué)科排名
書目名稱Nonparametric Methods in Change Point Problems讀者反饋
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作者: CANDY 時間: 2025-3-22 02:47 作者: Anonymous 時間: 2025-3-22 05:06 作者: Judicious 時間: 2025-3-22 11:35 作者: 忍耐 時間: 2025-3-22 13:56 作者: Coronary-Spasm 時間: 2025-3-22 18:36
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作者: exceed 時間: 2025-3-23 00:54 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.作者: interrupt 時間: 2025-3-23 07:27 作者: lacrimal-gland 時間: 2025-3-23 11:25
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.作者: TRAWL 時間: 2025-3-23 13:52
978-90-481-4240-8Springer Science+Business Media B.V. 1993作者: 干涉 時間: 2025-3-23 19:54
Mathematics and Its Applicationshttp://image.papertrans.cn/n/image/667827.jpg作者: Dorsal-Kyphosis 時間: 2025-3-23 22:45
https://doi.org/10.1007/978-94-015-8163-9computer; parametric statistics; probability; statistics作者: NOMAD 時間: 2025-3-24 04:47 作者: CAJ 時間: 2025-3-24 10:03
, 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作者: tangle 時間: 2025-3-24 13:20 作者: Nucleate 時間: 2025-3-24 15:44 作者: fringe 時間: 2025-3-24 21:30
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