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Titlebook: Nonparametric Geostatistics; Stephen Henley Book 1981 Applied Science Publishers Ltd 1981 geostatistics.statistics

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发表于 2025-3-21 17:39:07 | 显示全部楼层 |阅读模式
书目名称Nonparametric Geostatistics
编辑Stephen Henley
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图书封面Titlebook: Nonparametric Geostatistics; Stephen Henley Book 1981 Applied Science Publishers Ltd 1981 geostatistics.statistics
描述The ideas in this book have been developed over the past three or four years while I was working at the Institute of Geological Sciences and later for Golder Associates. During that time all of the geological modelling and resource estimation studies I participated in had data that were non-ideal in one respect or another (or just plain ‘dirty‘): the standard ways of handling the data with kriging or with simpler parametric methods gave reason­ able results, but always there were nagging doubts and some lack of confidence because of the corners that had to be cut in generat­ ing a model. The bimodal distribution that was assumed to be ‘close enough‘ to normal; the pattern of rich and poor zones that was not quite a trend yet made the data very non-stationary; and the many plotted variograms that would not fit any standard model variogram: these all contributed to the feeling that there should be something that statistics could say about the cases where hardly any assumptions could be made about the properties ofthe parent population.
出版日期Book 1981
关键词geostatistics; statistics
版次1
doihttps://doi.org/10.1007/978-94-009-8117-1
isbn_softcover978-94-009-8119-5
isbn_ebook978-94-009-8117-1
copyrightApplied Science Publishers Ltd 1981
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Book 1981 Golder Associates. During that time all of the geological modelling and resource estimation studies I participated in had data that were non-ideal in one respect or another (or just plain ‘dirty‘): the standard ways of handling the data with kriging or with simpler parametric methods gave reason­ a
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Summary,d methods have been termed ‘geostatistics’. However, it has been shown in this volume that there is a quite different possible approach to the same problems in spatial data analysis, using some of the ideas of .parametric statistics, and it has been suggested that a distinction should be drawn betwe
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Stephen Henley Ph.D., M.I.M.M., F.G.S. established researchers, including those who want to obtain a quick overview or a better understanding of our selected topics. The prerequisites are something like the contents of standard textbooks on higher algebra. This book should also enable the reader to read the "big" Handbook (Hazewinkel 19
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