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標題: Titlebook: Geostatistical Simulation; Models and Algorithm Christian Lantuéjoul Textbook 2002 Springer-Verlag Berlin Heidelberg 2002 Conditional Simul [打印本頁]

作者: 你太謙虛    時間: 2025-3-21 18:36
書目名稱Geostatistical Simulation影響因子(影響力)




書目名稱Geostatistical Simulation影響因子(影響力)學科排名




書目名稱Geostatistical Simulation網絡公開度




書目名稱Geostatistical Simulation網絡公開度學科排名




書目名稱Geostatistical Simulation被引頻次




書目名稱Geostatistical Simulation被引頻次學科排名




書目名稱Geostatistical Simulation年度引用




書目名稱Geostatistical Simulation年度引用學科排名




書目名稱Geostatistical Simulation讀者反饋




書目名稱Geostatistical Simulation讀者反饋學科排名





作者: engagement    時間: 2025-3-21 22:25

作者: bacteria    時間: 2025-3-22 03:01

作者: 四牛在彎曲    時間: 2025-3-22 08:00

作者: 誘導    時間: 2025-3-22 11:32

作者: 罐里有戒指    時間: 2025-3-22 15:41
Point processesaracter of their constitutive elements, point processes can exhibit rather complicated structures (cf. Figure 11.1) . Secondly, they can be used for modelling a wide range of natural phenomena (trees in a forest, precious stone deposits, earthquake epicentres, stars in galaxies, populations in settl
作者: 罐里有戒指    時間: 2025-3-22 17:32

作者: neologism    時間: 2025-3-22 23:19

作者: insolence    時間: 2025-3-23 01:21
Object based modelsnt objects are combined. In this chapter, three combination rules are successively considered, namely the addition, the maximum and the superposition, which give rise respectively to the ., the . and the ..
作者: lipids    時間: 2025-3-23 08:58
Gaussian random functionn their first two moments. These are .. Their main statistical properties are reviewed, the texture of their realizations is examined, and algorithms are proposed to simulate them, conditionnally or not.
作者: ALLEY    時間: 2025-3-23 13:32

作者: B-cell    時間: 2025-3-23 17:49

作者: 未完成    時間: 2025-3-23 19:16

作者: cunning    時間: 2025-3-23 22:14

作者: 你敢命令    時間: 2025-3-24 02:59

作者: Brocas-Area    時間: 2025-3-24 07:42
Stereology: some basic notionse information can be retrieved. Two different models are presented here. The first one deals with convex obj ects, the second one with polyconvex obj ects. Both models are treated in Hadwiger (1957). Other models can be found in Santaló (1977) and Serra (1982).
作者: 郊外    時間: 2025-3-24 14:36
Tessellationsption of the possible interpretations is given in the first section of this chapter. Then we turn to the presentation and the (conditional) simulation of two well known tessellation models, namely the Voronoi and the Poisson tessellations.
作者: 暫時別動    時間: 2025-3-24 16:41
Point processesodelling a wide range of natural phenomena (trees in a forest, precious stone deposits, earthquake epicentres, stars in galaxies, populations in settlements...). Thirdly, point processes can act as basic ingredients for designing more complicated models.
作者: 薄膜    時間: 2025-3-24 22:44
Marek Jackiewicz,Eugeniusz Kuriatae rate of convergence of algorithms based on Markovian iterations (in particular Nummelin, 1984; Meyn and Tweedie, 1993; Tierney, 1994; Duflo, 1996). This chapter only deals with two cases corresponding to two different assumptions on the transition kernel of the algorithm:
作者: 細微的差異    時間: 2025-3-25 02:49

作者: 索賠    時間: 2025-3-25 04:57

作者: Gossamer    時間: 2025-3-25 08:41

作者: Incisor    時間: 2025-3-25 12:06

作者: outrage    時間: 2025-3-25 18:12

作者: APO    時間: 2025-3-25 23:06

作者: 騙子    時間: 2025-3-26 00:23
Marek Jackiewicz,Eugeniusz Kuriataeternally; they have to be stopped after a finite number of iterations. Of course there is no reason for the distribution thus simulated to be identical to the limit distribution, and the number of iterations to carry out must be chosen so that their difference lies below a prescribed level of accep
作者: aneurysm    時間: 2025-3-26 04:27
Hideki Taniguchi,Keiko Ushigomearacter of their constitutive elements, point processes can exhibit rather complicated structures (cf. Figure 11.1) . Secondly, they can be used for modelling a wide range of natural phenomena (trees in a forest, precious stone deposits, earthquake epicentres, stars in galaxies, populations in settl
作者: 火海    時間: 2025-3-26 09:02
Vladimir Herdt,Daniel Gro?e,Rolf Drechslerary. Depending on the application considered, a tessellation can be regarded either as a partition of space or as a random function (by assigning each cell a value), or even as a population of cells. Of course, different interpretations lead to different statistical characterizations. A brief descri
作者: 高爾夫    時間: 2025-3-26 13:50

作者: 飛行員    時間: 2025-3-26 17:02
A. Manrique,K. Manrique,J. Nakahodont objects are combined. In this chapter, three combination rules are successively considered, namely the addition, the maximum and the superposition, which give rise respectively to the ., the . and the ..
作者: 微不足道    時間: 2025-3-26 22:18

作者: 馬賽克    時間: 2025-3-27 03:12

作者: Dysplasia    時間: 2025-3-27 09:06
https://doi.org/10.1007/978-3-658-39961-0The following problem was raised by Alfaro (1979). A submarine cable has to be laid across the straits of Gibraltar. How can its length be predicted if the depth of the sea floor has been measured sparsely along its trajectory?
作者: Insufficient    時間: 2025-3-27 10:27

作者: 弓箭    時間: 2025-3-27 14:13
Mai Yamagami,James W. TollefsonThe integral range is a simple and powerful tool that helps to quantify the statistical fluctuations of a stochastic model. Their knowledge is required to ensure the correctness of any computer program supposed to produce simulations of the model.
作者: affinity    時間: 2025-3-27 18:35
https://doi.org/10.1007/978-981-16-3001-9The problem addressed in this chapter is the simulation of a distribution . on .. In the case when the state-space Ω has an abstract setting or a complicated shape, the algorithms presented in the previous chapter may not be directly applicable. More general algorithms are then required.
作者: 顧客    時間: 2025-3-28 00:29
Overview of Mobile Communication,The previous chapter highlighted the difficulties in determining the rate of convergence of an iterative Markov algorithm quantitatively. This is very frustrating as the only problem is to generate one state from the target distribution: then it suffices to run the transition kernel from that state to produce as many as desired.
作者: 同步左右    時間: 2025-3-28 03:35
Advanced Navigation: The Popup MenuThis chapter is devoted to two models constructed from gaussian random functions. The first one is an excursion set obtained by thresholding a gaussian random function. The second one is a step function that results from the joint thresholding of two or more gaussian random functions. It is called a plurigaussian random function.
作者: cocoon    時間: 2025-3-28 08:48

作者: 抗生素    時間: 2025-3-28 12:27
Investigating stochastic modelsIn this chapter we review the statistical description of several classes of stochastic models (random functions, random sets, random point processes and random populations of objects) that will be encountered throughout this book. This review is preceded by a brief reminder about probability calculus.
作者: grotto    時間: 2025-3-28 17:24
The integral rangeThe integral range is a simple and powerful tool that helps to quantify the statistical fluctuations of a stochastic model. Their knowledge is required to ensure the correctness of any computer program supposed to produce simulations of the model.
作者: Mirage    時間: 2025-3-28 20:27

作者: 偽造者    時間: 2025-3-28 23:21

作者: FILTH    時間: 2025-3-29 04:39

作者: APEX    時間: 2025-3-29 09:19
Avoiding Ambiguity and Vaguenessnsitive and intrinsic geostatistics. These are the covariograms, the covariance function and the variogram. Particular attention is paid to indicator variograms where specific properties and limitations are encountered.
作者: 錯    時間: 2025-3-29 14:43

作者: Paradox    時間: 2025-3-29 17:39
https://doi.org/10.1007/978-3-662-25856-9 in]0, 1[is considered first . Then we turn to the simulation of standard univariate distributions (exponential, gaussian, poisson etc ...). Finally, we mention algorithms for several multivariate distributions (random point on a bounded domain, random direction, gaussian vector).
作者: 不可救藥    時間: 2025-3-29 23:04

作者: 奴才    時間: 2025-3-30 03:08
A. Manrique,K. Manrique,J. Nakahodont objects are combined. In this chapter, three combination rules are successively considered, namely the addition, the maximum and the superposition, which give rise respectively to the ., the . and the ..
作者: Bureaucracy    時間: 2025-3-30 06:02
Literature Review and Power Quality Issues,n their first two moments. These are .. Their main statistical properties are reviewed, the texture of their realizations is examined, and algorithms are proposed to simulate them, conditionnally or not.
作者: 易受刺激    時間: 2025-3-30 08:53
Variographic toolsnsitive and intrinsic geostatistics. These are the covariograms, the covariance function and the variogram. Particular attention is paid to indicator variograms where specific properties and limitations are encountered.
作者: bisphosphonate    時間: 2025-3-30 13:24

作者: 改變    時間: 2025-3-30 18:31
Basics about simulations in]0, 1[is considered first . Then we turn to the simulation of standard univariate distributions (exponential, gaussian, poisson etc ...). Finally, we mention algorithms for several multivariate distributions (random point on a bounded domain, random direction, gaussian vector).
作者: CANON    時間: 2025-3-30 23:42
Boolean modelition of the boolean model. Despite its simplicity, it is methodologically and practically important, and has been the object of a considerable work (Matheron, 1967, 1975; Serra, 1982; Stoyan et al., 1987; Hall, 1988; Molchanov, 1997) .
作者: Nutrient    時間: 2025-3-31 02:35

作者: AUGUR    時間: 2025-3-31 05:20

作者: 愛管閑事    時間: 2025-3-31 10:38

作者: 無瑕疵    時間: 2025-3-31 15:04





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