標(biāo)題: Titlebook: Chaos: A Statistical Perspective; Kung-Sik Chan,Howell Tong Book 2001 Springer-Verlag New York 2001 correlation.deterministic chaos.dynami [打印本頁] 作者: 連續(xù)不斷 時間: 2025-3-21 18:58
書目名稱Chaos: A Statistical Perspective影響因子(影響力)
書目名稱Chaos: A Statistical Perspective影響因子(影響力)學(xué)科排名
書目名稱Chaos: A Statistical Perspective網(wǎng)絡(luò)公開度
書目名稱Chaos: A Statistical Perspective網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Chaos: A Statistical Perspective讀者反饋
書目名稱Chaos: A Statistical Perspective讀者反饋學(xué)科排名
作者: 靦腆 時間: 2025-3-21 22:19
Modeling collaboration of profit centersplications, the fundamental task is to start with the data, especially the real observations, and explore the impact of the various notions relating to chaos on their analysis. This is the area where the statisticians can make truly important contributions. Much research remains to be done, but a good start has been made.作者: Gossamer 時間: 2025-3-22 02:59 作者: THROB 時間: 2025-3-22 06:27 作者: outrage 時間: 2025-3-22 10:37
978-1-4419-2936-5Springer-Verlag New York 2001作者: CRUE 時間: 2025-3-22 16:26 作者: CRUE 時間: 2025-3-22 18:34 作者: forecast 時間: 2025-3-22 23:44
Professionalisierte Beurteilung,In Chapter 4, we have dealt with the initial aspects of statistical analysis of chaos, such as preliminary data analysis and the determination of the embedding dimension. In this chapter, we shall study the statistical analysis of finer structures, such as the correlation dimension, measures of initialvalue sensitivity and map reconstruction.作者: chemoprevention 時間: 2025-3-23 03:54 作者: 善變 時間: 2025-3-23 08:12
Statistical Analysis II,In Chapter 4, we have dealt with the initial aspects of statistical analysis of chaos, such as preliminary data analysis and the determination of the embedding dimension. In this chapter, we shall study the statistical analysis of finer structures, such as the correlation dimension, measures of initialvalue sensitivity and map reconstruction.作者: 抵消 時間: 2025-3-23 12:35 作者: 后來 時間: 2025-3-23 14:41 作者: 音樂戲劇 時間: 2025-3-23 19:32 作者: adequate-intake 時間: 2025-3-24 00:06
Verification of collaboration profitabilityactions. Some statisticians might find chaos — the notion totally alien, and even suspicious. They might have heard or overheard one or two claims perpetuated in some popular accounts of deterministic chaos theory, from which they might form the impression that the theory attempts to explain almost 作者: NICHE 時間: 2025-3-24 03:41 作者: amnesia 時間: 2025-3-24 08:18
Verification of collaboration profitabilityon law, i.e. the dynamics, is assumed to be known precisely and the states are assumed to be free from any errors, such as measurement errors, rounding errors, etc. In reality, such assumptions are rarely satisfied. We should therefore extend the deterministic dynamical system to a stochastic dynami作者: 下級 時間: 2025-3-24 11:22
Modeling collaboration of profit centersplications, the fundamental task is to start with the data, especially the real observations, and explore the impact of the various notions relating to chaos on their analysis. This is the area where the statisticians can make truly important contributions. Much research remains to be done, but a go作者: Panacea 時間: 2025-3-24 16:26
https://doi.org/10.1007/978-3-540-68658-3have either established, or potential, points of contact with statistics. Our aim is to give a general flavour rather than going into all the technical details. In any case, some of the topics are selected not so much for their completeness, but rather their potential for exciting developments.作者: 新星 時間: 2025-3-24 22:31 作者: 規(guī)章 時間: 2025-3-25 00:05 作者: 分解 時間: 2025-3-25 06:16
Modeling collaboration of profit centers be regarded as the very minimum coverage. For further coverage, readers may refer to Alligood . (1997), Kantz and Schreiber (1997) and others; see the Notes at the end of this chapter. These concepts will be used to motivate Chapter 3, which addresses stochastic processes.作者: ELATE 時間: 2025-3-25 09:03
Deterministic Chaos, be regarded as the very minimum coverage. For further coverage, readers may refer to Alligood . (1997), Kantz and Schreiber (1997) and others; see the Notes at the end of this chapter. These concepts will be used to motivate Chapter 3, which addresses stochastic processes.作者: Harass 時間: 2025-3-25 14:22
Chaos and Stochastic Systems,cal system, which treats the states as random and describes the transition probabilities from the initial state to the later states. A natural way of characterising the ‘driving force’ behind a stochastic dynamical system is to introduce ., also known as ..作者: Blood-Clot 時間: 2025-3-25 16:19
0172-7397 initial-value sensitivity is a fundamental source of random- ness. For statisticians working within the traditional statistical framework, the task of critically assimilating randomness generated by a purely de- terministic system, often known as chaos, is an intellectual challenge. Like some other作者: Rheumatologist 時間: 2025-3-25 21:54 作者: ODIUM 時間: 2025-3-26 00:36
Introduction and Case Studies,petuated in some popular accounts of deterministic chaos theory, from which they might form the impression that the theory attempts to explain almost all random phenomena by purely deterministic systems. They tend to take their leave at this point because their training has convinced them of the limitations of determinism in analysing real data.作者: 定點 時間: 2025-3-26 08:08
Introduction and Case Studies,actions. Some statisticians might find chaos — the notion totally alien, and even suspicious. They might have heard or overheard one or two claims perpetuated in some popular accounts of deterministic chaos theory, from which they might form the impression that the theory attempts to explain almost 作者: harangue 時間: 2025-3-26 12:31
Deterministic Chaos,etween statistics and chaos. Thus, instead of presenting a formal account here, we shall adopt an informal approach in which we illustrate some basic concepts of deterministic chaos through a few examples. A more systematic account is relegated to Appendix A for interested readers. Because the nonli作者: 生氣地 時間: 2025-3-26 16:22
Chaos and Stochastic Systems,on law, i.e. the dynamics, is assumed to be known precisely and the states are assumed to be free from any errors, such as measurement errors, rounding errors, etc. In reality, such assumptions are rarely satisfied. We should therefore extend the deterministic dynamical system to a stochastic dynami作者: 為寵愛 時間: 2025-3-26 20:50 作者: NAVEN 時間: 2025-3-26 21:42 作者: subordinate 時間: 2025-3-27 03:16 作者: 縮影 時間: 2025-3-27 08:08
0172-7397 ies, University of British Columbia and the graduate courses on Time Series Analysis at the University of Iowa, the University of Hong Kong, the Lon- don School of Economics and Political Science, and the Chin978-1-4419-2936-5978-1-4757-3464-5Series ISSN 0172-7397 Series E-ISSN 2197-568X 作者: 系列 時間: 2025-3-27 10:45 作者: 流浪 時間: 2025-3-27 16:25
Book 2023.With expert contributions by Steffen Augsberg (Giessen), Klaus Bergdolt (Cologne), Nikola Biller-Andorno (Zurich), Walter Bruchhausen (Bonn), Christiane Druml (Vienna), Hans-J?rg Ehni (Tuebingen), Alice Faust (Berlin), Sophia Forster (Erlangen-Nuremberg), Andreas Frewer (Erlangen-Nuremberg), Sara G作者: MARS 時間: 2025-3-27 17:58 作者: CORD 時間: 2025-3-27 23:48 作者: Original 時間: 2025-3-28 05:32
Spherical Fuzzy Soft Sets problem primarily based on adjustable soft discernibility matrix. It offers an order relation among all the items of our universe. Finally, an illustrative example is mentioned to show that they can be successfully used to solve problems with uncertainties.
