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標(biāo)題: Titlebook: Geostatistics for Engineers and Earth Scientists; Ricardo A. Olea Book 1999 Kluwer Academic Publishers 1999 Estimator.Kriging.Time series. [打印本頁]

作者: DART    時(shí)間: 2025-3-21 17:21
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作者: 看法等    時(shí)間: 2025-3-22 00:15

作者: 無聊的人    時(shí)間: 2025-3-22 02:11
Ordinary Kriging, seen that simple kriging requires knowledge of the mean to solve the problem of finding weights that minimize the variance of the estimation error. Ordinary kriging elegantly discards the requirement by filtering out the mean, taking advantage of Corollary 2.11. And by removing the mean from the es
作者: Benign    時(shí)間: 2025-3-22 05:12
Universal Kriging,d an effort to lift the constant mean requirement by moving from a global constant mean to a locally constant mean. There are several instances of attributes— water depth near the shore, temperature in the upper part of the earth’s crust, water table elevation in the High Plains aquifer of Kansas—th
作者: ADORN    時(shí)間: 2025-3-22 11:04

作者: 粗語    時(shí)間: 2025-3-22 16:04

作者: 粗語    時(shí)間: 2025-3-22 20:39
imperfectly describe natural processes or attributesmeasured at geographical locations. Inference from imperfect knowledgeis the realm of classical statistics. In the case of many naturalphenomena, auto- and cross- correlation preclude the use of classicalstatistics. The appropriate choice in such
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作者: 進(jìn)入    時(shí)間: 2025-3-23 09:24
Sebastian Gawron,Sebastian Gerthributes— water depth near the shore, temperature in the upper part of the earth’s crust, water table elevation in the High Plains aquifer of Kansas—that have a clear systematic variation. Models that presume constancy of the mean are inadequate for the characterization of such attributes.
作者: 抗生素    時(shí)間: 2025-3-23 11:12

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作者: 有權(quán)    時(shí)間: 2025-3-24 08:19

作者: reserve    時(shí)間: 2025-3-24 13:07
Patrick Aichroth,Judith LiebetrauThree good reasons may be cited to explain why the semivariogram is important in geostatistics:
作者: 天賦    時(shí)間: 2025-3-24 17:41
Entrepreneurship im Gesundheitswesen IUpon selecting any estimator and its parameters and producing estimations for a given spatial attribute, there is curiosity and the need to know more about the quality of the job done.
作者: Foreknowledge    時(shí)間: 2025-3-24 19:20

作者: meditation    時(shí)間: 2025-3-25 00:52

作者: 易達(dá)到    時(shí)間: 2025-3-25 07:24
Fabio Corno,Richa Lal,Stefano ColomboCharacteristic of geostatistics and other stochastic methods is the ability to assign confidence intervals to the estimates. The confidence intervals are derived from cumulative distributions of random functions.
作者: hedonic    時(shí)間: 2025-3-25 10:37

作者: 激勵(lì)    時(shí)間: 2025-3-25 12:22
Tax and Management Company Structuring,Simple, ordinary, and universal kriging are not multivariate models in the usual statistical sense of the term. Despite the fact that they employ a random function model comprising an infinite number of random variables, they are all used for the modeling of a single attribute.
作者: 世俗    時(shí)間: 2025-3-25 16:26

作者: 向宇宙    時(shí)間: 2025-3-25 20:11
The Semivariogram,Three good reasons may be cited to explain why the semivariogram is important in geostatistics:
作者: 性學(xué)院    時(shí)間: 2025-3-26 03:43

作者: fledged    時(shí)間: 2025-3-26 04:24
Drift and Residuals,In Chapter 6, we have formulated universal kriging for the modeling of an attribute with a systematic trend. In some instances, however, the characteristic of interest is the trend itself rather than the attribute or, even more commonly, it is the residuals resulting from subtracting the drift from the kriging modeling of the attribute.
作者: Pessary    時(shí)間: 2025-3-26 12:29
Stochastic Simulation,If one analyzes a regular grid of kriging estimates for a spatial attribute such as that shown in Figure 9.1, one finds that there is an uneven smoothing in the grid of estimates—smoothing that is inversely proportional to the data density. Such distortion can be visualized in several ways:
作者: APRON    時(shí)間: 2025-3-26 16:30

作者: 種族被根除    時(shí)間: 2025-3-26 20:52
Cumulative Distribution Estimators,In the previous chapter we have seen different ways to generate cumulative distributions, including a method based on the kriging estimate, when the assumption of multinormality is accepted.
作者: 做方舟    時(shí)間: 2025-3-27 00:32
Ordinary Cokriging,Simple, ordinary, and universal kriging are not multivariate models in the usual statistical sense of the term. Despite the fact that they employ a random function model comprising an infinite number of random variables, they are all used for the modeling of a single attribute.
作者: 送秋波    時(shí)間: 2025-3-27 02:46

作者: 沐浴    時(shí)間: 2025-3-27 05:29
Léo Paul Dana,Ramo Palali?,Veland Ramadanitural processes that may have generated the phenomena we observe today. Because natural processes are fairly complex and samplings are rarely large enough, simplifying reality by the imposition of a manmade order commonly plays an important part in inverse modeling.
作者: instulate    時(shí)間: 2025-3-27 10:51
Block Kriging,ports for the estimate and the sampling. In Chapter 5 we defined support as the shape, size, and orientation of the volume associated with any observation. So far we have not used that potential of kriging.
作者: 玉米棒子    時(shí)間: 2025-3-27 13:37

作者: 天賦    時(shí)間: 2025-3-27 18:18
978-1-4613-7271-4Kluwer Academic Publishers 1999
作者: expeditious    時(shí)間: 2025-3-28 01:01
https://doi.org/10.1007/978-3-642-28264-5andom models in a manner similar to the way in which time series analysis characterizes temporal data. The French engineer Georges Matheron—at the time with the Bureau de Recherches Géologiques et Minières—coined the word ., inspired by the clear meaning and success of the older terms geochemistry a
作者: SENT    時(shí)間: 2025-3-28 02:45
https://doi.org/10.1007/978-3-031-18243-3rably inside the convex hull defined by the location of the data. Figure 2.1 illustrates the case for a two-dimensional point sampling. Although extrapolations outside the convex hull are possible, they are unreliable. This points out a significant difference between kriging and time series analysis
作者: 松馳    時(shí)間: 2025-3-28 08:35
https://doi.org/10.1007/978-3-031-38359-5 seen that simple kriging requires knowledge of the mean to solve the problem of finding weights that minimize the variance of the estimation error. Ordinary kriging elegantly discards the requirement by filtering out the mean, taking advantage of Corollary 2.11. And by removing the mean from the es
作者: Digest    時(shí)間: 2025-3-28 12:38

作者: Mutter    時(shí)間: 2025-3-28 17:42

作者: 錫箔紙    時(shí)間: 2025-3-28 18:52
Léo Paul Dana,Ramo Palali?,Veland Ramadanitural processes that may have generated the phenomena we observe today. Because natural processes are fairly complex and samplings are rarely large enough, simplifying reality by the imposition of a manmade order commonly plays an important part in inverse modeling.
作者: Aboveboard    時(shí)間: 2025-3-29 00:52

作者: Freeze    時(shí)間: 2025-3-29 06:22
s and Earth Scientists. presents aconcise introduction to geostatistics with an emphasis on detailedexplanations of methods that are parsimonious, nonredundant, andthrough the test of time have proved to work satisfactorily for avariety of attributes and sampling schemes. Most of these methods arevarious form978-1-4613-7271-4978-1-4615-5001-3
作者: 孵卵器    時(shí)間: 2025-3-29 07:47
Introduction,m autocorrelated data that are insufficient for obtaining precise results. Unlike time series analysis, however, geostatistics was not originally developed by mainstream statisticians, which accounts for its terminology and a notation that at first sight may be unfamiliar to scientists with training
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作者: 公理    時(shí)間: 2025-3-29 22:12
,Terrain and Guerrilla Warfare in Navarre, 1808–1814,e of 35 historical battles, in which the Spanish peasantry fought against Napoleon’s invading Grande Armée in the early 1800’s. It was during this conflict that the term ‘guerrilla’ was coined. An historical reconstruction of these 35 battles has yielded information on the physical conditions in which each battle was fought and on its outcome.
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Book 2017voiding known pitfalls..<.Cutting-edge and thorough, .Protein Terminal Profiling: Methods and Protocols. is a valuable resource for researchers that focus on biochemistry and cell biology, and those who share a broad interest in protein functionality and protein modifications..
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Premature Ovarian Insufficiency,, osteoporosis, metabolic syndrome, cognitive changes, Alzheimer’s disease, urogenital dysfunction, decreased fertility rate, etc. Diagnosis is confirmed by FSH >40?IU/L (or 25?IU/L), estradiol <50?pmol/L, and oligo/amenorrhea in women younger than 40?years of age. Also, suggested analyses are AMH,
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l in the detection of pancreatic disease. The various pathologic findings are analyzed with reference to the clinical stages of pancreatic disease. As an introduction to the morphological and functional features of acute pancreatitis, chronic pancreatitis, and pancreatic cancer revealed by the different imagi978-3-642-71130-5978-3-642-71128-2
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