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Titlebook: Stable Processes and Related Topics; A Selection of Paper Stamatis Cambanis,Gennady Samorodnitsky,Murad S. T Book 1991 Birkhäuser Boston 19

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书目名称Stable Processes and Related Topics
副标题A Selection of Paper
编辑Stamatis Cambanis,Gennady Samorodnitsky,Murad S. T
视频video
丛书名称Progress in Probability
图书封面Titlebook: Stable Processes and Related Topics; A Selection of Paper Stamatis Cambanis,Gennady Samorodnitsky,Murad S. T Book 1991 Birkhäuser Boston 19
描述The Workshop on Stable Processes and Related Topics took place at Cor­ nell University in January 9-13, 1990, under the sponsorship of the Mathemat­ ical Sciences Institute. It attracted an international roster of probabilists from Brazil, Japan, Korea, Poland, Germany, Holland and France as well as the U. S. This volume contains a sample of the papers presented at the Workshop. All the papers have been refereed. Gaussian processes have been studied extensively over the last fifty years and form the bedrock of stochastic modeling. Their importance stems from the Central Limit Theorem. They share a number of special properties which facilitates their analysis and makes them particularly suitable to statistical inference. The many properties they share, however, is also the seed of their limitations. What happens in the real world away from the ideal Gaussian model? The non-Gaussian world may contain random processes that are close to the Gaussian. What are appropriate classes of nearly Gaussian models and how typical or robust is the Gaussian model amongst them? Moving further away from normality, what are appropriate non-Gaussian models that are sufficiently different to encompass
出版日期Book 1991
关键词Finite; Gaussian measure; Gaussian process; Statistica; Variance; Volume; behavior; boundary element method
版次1
doihttps://doi.org/10.1007/978-1-4684-6778-9
isbn_softcover978-1-4684-6780-2
isbn_ebook978-1-4684-6778-9Series ISSN 1050-6977 Series E-ISSN 2297-0428
issn_series 1050-6977
copyrightBirkhäuser Boston 1991
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Characterizations of ergodic stationary stable processes via the dynamical functional,X.:t∈ℝ} in the topology of convergence in measure and S. is the shift transformation. It is proved that a stochastically continuous process . is ergodic if and only if for each Y we have .This characterization is applied to symmetric stable processes to reprove and unify two independent equivalent conditions for ergodicity presented in [2] and [7].
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On Multiple Markov S,S Processes, of the nth order ordinary stochastic differential equations with stationary symmetric .-stable input. The latter generalizes earlier work of Hida [6] and Lévy [10] and the former allows us to show that a process of type X.=.(t)L(.(t)), L Lévy process and .(t) measuring time change in [1] is first o
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Book 1991may contain random processes that are close to the Gaussian. What are appropriate classes of nearly Gaussian models and how typical or robust is the Gaussian model amongst them? Moving further away from normality, what are appropriate non-Gaussian models that are sufficiently different to encompass
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mirror resting on the surface and stepped along it. Currently this non-contacting technique can achieve nanometre accuracy on flat or near-cylindrical surfaces, and it has the advantage of providing absolute values of profile height, related only to the direction of the beam from a laser as datum.
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Jan Rosinski inter­ disciplinary in its applications, and in its scientific and technolo­ gical background. It is related to such diverse disciplines as physi­ cal and chemical sciences, engineering, electronics, computer scien­ ces, biological sciences and theoretical sciences, such as statistics. Although the
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Wei Wu,Stamatis Cambaniserferometry, is described. This device directly and precisely monitors changes in laser wavelength inside a highly stable mechanical cavity. It can be easily incorporated, as an additional interferometer axis, into precision machines to give superior compensation for changes in laser wavelength.
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John P. Noland, as developed in several interferometric laser applications. The first part of the paper reviews the coherent detection process. Phase and Frequency modulations and homodyne and heterodyne schemes are then compared and a new method to directly extract the phase change values from a FM spectrum sig
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