標(biāo)題: Titlebook: Extremes and Related Properties of Random Sequences and Processes; M. R. Leadbetter,Georg Lindgren,Holger Rootzén Book 1983 Springer-Verla [打印本頁] 作者: Obsolescent 時(shí)間: 2025-3-21 20:01
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書目名稱Extremes and Related Properties of Random Sequences and Processes讀者反饋學(xué)科排名
作者: inferno 時(shí)間: 2025-3-21 20:43 作者: exclamation 時(shí)間: 2025-3-22 01:14 作者: frugal 時(shí)間: 2025-3-22 05:02
Book 1983s-the extension of general theory to certain dependent sequences (e.g., Watson and Loynes), and the beginning of a detailed theory for stationary sequences (Berman) and continuous parameter processes (Cramer) in the normal case. In recent years both lines of development have been actively pursued.作者: flourish 時(shí)間: 2025-3-22 11:05
https://doi.org/10.1007/978-3-658-07291-9 result is possible for upcrossings when α < 2, it will be seen that Poisson limits may be obtained for the related concept of ε-upcrossings, defined similarly to the e-maxima of Chapter 9.Chapter 13 Extremes of Continuous Parameter Stationary Processes Our primary task in this chapter will be to di作者: Ganglion 時(shí)間: 2025-3-22 16:40 作者: Ganglion 時(shí)間: 2025-3-22 20:58 作者: 即席 時(shí)間: 2025-3-22 23:00 作者: 得體 時(shí)間: 2025-3-23 01:54
Convergence of the Point Process of Exceedances, and the Distribution of ,th Largest Maximaons of this theorem yield further results concerning joint distributions of kth largest values. The formal definition and simple properties of point processes which will be needed are given in the appendix.作者: 說明 時(shí)間: 2025-3-23 07:13
Exceedances of Levels and ,th Largest Maxima it will be shown that the exceedances take on a Poisson character as . becomes large. This leads to the limiting distributions for the kth largest values for any . rank . = 1, 2,… (the kth “extreme order statistics”) and to their limiting joint distributions.作者: 文件夾 時(shí)間: 2025-3-23 11:28 作者: Metamorphosis 時(shí)間: 2025-3-23 17:45
Point Processes of Upcrossings and Local Maximaght, and as we shall see here, they also contain considerable information about the local structure of the process. This chapter is devoted to the asymptotic Poisson character of the point process of upcrossings of increasingly high levels, and of the point process formed by the local maxima of the process.作者: 胰島素 時(shí)間: 2025-3-23 21:43 作者: 排斥 時(shí)間: 2025-3-24 01:00 作者: blight 時(shí)間: 2025-3-24 03:19
Book 1983d as roughly half a century old, even though its roots reach further back into mathematical antiquity. During this period of time it has found significant application-exemplified best perhaps by the book Statistics of Extremes by E. J. Gumbel-as well as a rather complete theoretical development. Mor作者: Chronic 時(shí)間: 2025-3-24 06:37 作者: FLAGR 時(shí)間: 2025-3-24 13:51
,Bestimmung der Qualit?tsmerkmale, it will be shown that the exceedances take on a Poisson character as . becomes large. This leads to the limiting distributions for the kth largest values for any . rank . = 1, 2,… (the kth “extreme order statistics”) and to their limiting joint distributions.作者: 火海 時(shí)間: 2025-3-24 16:19 作者: 圣人 時(shí)間: 2025-3-24 22:14 作者: 壓艙物 時(shí)間: 2025-3-25 01:49
Instrumente der Wissensorganisationthe asymptotic independence of maxima and minima in one normal process. Since minima of ξ(.) are maxima for — ξ(.), this can in fact be regarded as a special case of independence between extremes in two processes, namely between the maxima in the completely dependent processes ξ(t)and-ξ(.).作者: 看法等 時(shí)間: 2025-3-25 04:17
https://doi.org/10.1007/978-3-322-90824-7ng a continuous parameter analogue of the dependence restriction D(u.). Limits for probabilities P{M(T) ≤ u.} are then considered for arbitrary families of constants {u.}, leading, in particular, to a determination of domains of attraction.作者: 等級的上升 時(shí)間: 2025-3-25 08:54 作者: Working-Memory 時(shí)間: 2025-3-25 13:38 作者: Hyperlipidemia 時(shí)間: 2025-3-25 17:51 作者: CULP 時(shí)間: 2025-3-25 23:31 作者: Colonnade 時(shí)間: 2025-3-26 02:19 作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-26 05:36
Andrey G. Kostianoy,Olga Yu. Lavrovare normal. Their importance is enhanced by the fact that their joint normal distributions are determined by the mean and the covariance structure of the sequence. In this chapter we investigate the extremal properties of stationary normal sequences. In particular covariance conditions will be obtain作者: Mucosa 時(shí)間: 2025-3-26 08:51
Raman Processes and their Applicational stationary sequence {ξ.} exceeds some given level . These times of exceed-ance are stochastic in nature and may be viewed as a point process. Since exceedances of very high levels will be rare, one may suspect that this point process will take on a Poisson character at such levels. An explicit th作者: Indecisive 時(shí)間: 2025-3-26 15:03
Analytical instruments for process control,ent chapters but begin with a discussion of some basic properties which are relevant, whether or not the process is normal, and which will be useful in the discussion of extremal behaviour in later chapters.作者: 臥虎藏龍 時(shí)間: 2025-3-26 19:24
Synthesis Lectures on Mechanical Engineeringous results to those of Chapter 4. This will be approached using the properties of upcrossings developed in the previous chapter and will result in the limiting double exponential distribution for the maximum, with the appropriate scale and location normalization similar to that in Chapter 4.作者: micturition 時(shí)間: 2025-3-26 22:44
B. R. Bannister,D. C. Whiteheade obvious fact that the maximum exceeds u if there is at least one upcrossing of the level . However, the upcrossings have an interest in their own right, and as we shall see here, they also contain considerable information about the local structure of the process. This chapter is devoted to the asy作者: 后來 時(shí)間: 2025-3-27 03:55
https://doi.org/10.1007/978-3-031-79211-3f several adjacent levels.For instance, we know from Theorem 9.3.2 and relation (9.2.3) that for a standard normal process each upcrossing of the high level u = u.; with a probability p = τ*/τ is accompanied by an upcrossing also of the level.asymptotically independently of all other upcrossings of 作者: Virtues 時(shí)間: 2025-3-27 06:55 作者: Angiogenesis 時(shí)間: 2025-3-27 10:27 作者: 大看臺 時(shí)間: 2025-3-27 16:00 作者: 不持續(xù)就爆 時(shí)間: 2025-3-27 17:49
https://doi.org/10.1007/978-3-8350-9249-5h stochastic models for the loads and forces acting on the material. Thus it is often assumed that the maximum of several loads follows one of the extreme value distributions for maxima. More important, and also less obvious, is that the strength of a piece of material, such as a strip of paper or g作者: Expostulate 時(shí)間: 2025-3-28 00:59
https://doi.org/10.1007/978-3-662-63311-3forms for the limiting distribution of maxima in sequences of i.i.d. random variables. In the derivation, the possible limiting distributions are identified with a class having a certain stability property—the so-called . distributions. It is further shown that this class consists precisely of the three families known (loosely) as . three 作者: Spinal-Fusion 時(shí)間: 2025-3-28 05:13 作者: 卷發(fā) 時(shí)間: 2025-3-28 10:05 作者: Canvas 時(shí)間: 2025-3-28 12:00
Synthesis Lectures on Mechanical Engineeringous results to those of Chapter 4. This will be approached using the properties of upcrossings developed in the previous chapter and will result in the limiting double exponential distribution for the maximum, with the appropriate scale and location normalization similar to that in Chapter 4.作者: 佛刊 時(shí)間: 2025-3-28 15:55
https://doi.org/10.1007/978-3-031-79211-3f several adjacent levels.For instance, we know from Theorem 9.3.2 and relation (9.2.3) that for a standard normal process each upcrossing of the high level u = u.; with a probability p = τ*/τ is accompanied by an upcrossing also of the level.asymptotically independently of all other upcrossings of u ., and u..作者: 襲擊 時(shí)間: 2025-3-28 21:02
Asymptotic Distributions of Extremesforms for the limiting distribution of maxima in sequences of i.i.d. random variables. In the derivation, the possible limiting distributions are identified with a class having a certain stability property—the so-called . distributions. It is further shown that this class consists precisely of the three families known (loosely) as . three 作者: STELL 時(shí)間: 2025-3-29 01:59
Maxima of Stationary Sequencesy sequences involved will be those exhibiting a dependence structure which is not “too strong”. Specifically, a distributional type of mixing condition— weaker than the usual forms of dependence restriction such as strong mixing—will be used as a basic assumption in the development of the theory.作者: 機(jī)警 時(shí)間: 2025-3-29 05:58
Basic Properties of Extremes and Level Crossingsent chapters but begin with a discussion of some basic properties which are relevant, whether or not the process is normal, and which will be useful in the discussion of extremal behaviour in later chapters.作者: GLARE 時(shí)間: 2025-3-29 10:53 作者: 弄皺 時(shí)間: 2025-3-29 13:06 作者: 你不公正 時(shí)間: 2025-3-29 16:40
Residue Reviews/RückstandsberichteWhile our primary concern in this volume is with stationary processes, the results and methods may be used to apply simply to some important nonstationary cases. In particular, this is so for nonstationary normal sequences having a wide variety of possible mean and correlation structures, which is the situation considered first in this chapter.作者: Camouflage 時(shí)間: 2025-3-29 23:00
Hisbollah oder die Strafe GottesIn this chapter we shall present some examples of continuous parameter processes and sequences with dependence where extreme value theory may be applied for descriptive or predictive purposes.作者: Recessive 時(shí)間: 2025-3-30 03:06 作者: invade 時(shí)間: 2025-3-30 05:44 作者: Frequency 時(shí)間: 2025-3-30 08:13
https://doi.org/10.1007/978-1-4612-5449-2Extremum; Maxima; Properties; Random variable; Stochastischer Prozess; Zufallsfolge; statistics作者: athlete’s-foot 時(shí)間: 2025-3-30 15:19
Springer Series in Statisticshttp://image.papertrans.cn/f/image/320076.jpg作者: enhance 時(shí)間: 2025-3-30 19:27
Asymptotic Distributions of Extremesforms for the limiting distribution of maxima in sequences of i.i.d. random variables. In the derivation, the possible limiting distributions are identified with a class having a certain stability property—the so-called . distributions. It is further shown that this class consists precisely of the t作者: 與野獸博斗者 時(shí)間: 2025-3-31 00:07
Exceedances of Levels and ,th Largest Maximatain limiting distributional results for the kth largest value among ξ.,…, ξ.. In particular, when the familiar assumption . holds (Equation (1.5.1)), it will be shown that the exceedances take on a Poisson character as . becomes large. This leads to the limiting distributions for the kth largest va作者: Obsequious 時(shí)間: 2025-3-31 04:21 作者: 法官 時(shí)間: 2025-3-31 08:17
Normal Sequencesre normal. Their importance is enhanced by the fact that their joint normal distributions are determined by the mean and the covariance structure of the sequence. In this chapter we investigate the extremal properties of stationary normal sequences. In particular covariance conditions will be obtain作者: 不適當(dāng) 時(shí)間: 2025-3-31 11:39 作者: 緩解 時(shí)間: 2025-3-31 14:35 作者: Enzyme 時(shí)間: 2025-3-31 21:12
