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Theoretical and practical improvemen...
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University of Alberta (Canada).
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Theoretical and practical improvements to geostatistical estimation and simulation.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Theoretical and practical improvements to geostatistical estimation and simulation./
作者:
Babak, Olena.
面頁冊數:
213 p.
附註:
Source: Dissertation Abstracts International, Volume: 70-02, Section: B, page: 1313.
Contained By:
Dissertation Abstracts International70-02B.
標題:
Engineering, Mining. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR46277
ISBN:
9780494462775
Theoretical and practical improvements to geostatistical estimation and simulation.
Babak, Olena.
Theoretical and practical improvements to geostatistical estimation and simulation.
- 213 p.
Source: Dissertation Abstracts International, Volume: 70-02, Section: B, page: 1313.
Thesis (Ph.D.)--University of Alberta (Canada), 2008.
Geostatistics is a relatively new and rapidly growing discipline of engineering that provides a set of statistical and mathematical tools for generating numerical models of regionalized variables that help in data processing and decision making.
ISBN: 9780494462775Subjects--Topical Terms:
1035560
Engineering, Mining.
Theoretical and practical improvements to geostatistical estimation and simulation.
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Source: Dissertation Abstracts International, Volume: 70-02, Section: B, page: 1313.
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Thesis (Ph.D.)--University of Alberta (Canada), 2008.
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Geostatistics is a relatively new and rapidly growing discipline of engineering that provides a set of statistical and mathematical tools for generating numerical models of regionalized variables that help in data processing and decision making.
520
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Over the years many geostatistical estimation and simulation techniques have been proposed. There are, however, a number of longstanding problems associated with these techniques. These problems include (1) correcting the "string effect" of kriging; (2) removing variance inflation of collocated simple cokriging; (3) improving practical implementation of collocated cokriging in the case of multiple secondary variables; (4) development of combined measure of local uncertainty, and (5) correcting multivariate simulation with correlated residuals to reproduce the target correlation between variables of interest.
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These problems can result in poor estimates and poor distributions of uncertainty or systematic bias in the mean, variance and correlation between simulated realizations representing heterogeneity of the regionalized variables under study. The improved methods without these issues lead to numerical models with more realistic heterogeneity and improved uncertainty characterization.
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Several new modeling techniques are proposed and developed within each of the five target areas: (1) distance constrained kriging and finite domain kriging; (2) sequential Gaussian simulation with intrinsic collocated cokriging; (3) super-secondary approach; (4) overlap uncertainty technique; and (5) sequential Gaussian simulation that honors correlation at lag O. Theoretical and/or practical developments and implementations are presented for each.
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This work has resulted in significant progress over a wide range of topics. The techniques proposed in this thesis provide an important addition to geostatistical theory and practice. Future research and development directions are discussed and summarized in the conclusions.
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