Nonparametric Geostatistics

  • Stephen Henley

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Stephen Henley
    Pages 1-8
  3. Stephen Henley
    Pages 9-34
  4. Stephen Henley
    Pages 35-65
  5. Stephen Henley
    Pages 66-104
  6. Stephen Henley
    Pages 105-124
  7. Stephen Henley
    Pages 125-132
  8. Stephen Henley
    Pages 133-136
  9. Back Matter
    Pages 137-145

About this book

Introduction

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.

Keywords

geostatistics statistics

Authors and affiliations

  • Stephen Henley
    • 1
  1. 1.Mineral Industries Computing LtdLeighton BuzzardUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-8117-1
  • Copyright Information Springer Science+Business Media B.V. 1981
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-009-8119-5
  • Online ISBN 978-94-009-8117-1
  • About this book
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