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The Statistical Treatment of Exploration Data and Computer Application

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Mineral Exploration: Practical Application

Part of the book series: Springer Geology ((SPRINGERGEOL))

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Abstract

The analysis of exploration data essentially incorporates well-defined mathematical model describing the source, migration and accumulation of miner and trace elements in rocks.

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Further Readings

  • Clark I (1982) Practical geostatistics. Applied Science Publishers, London, p 129

    Google Scholar 

  • Davis JC (1973) Statistics and data analysis in geology. New York, Willey, p 550

    Google Scholar 

  • David M (1977) Geostatistical ore reserve estimation. In: Developments in geo-mathematics, vol 6. Elsevier Scientific Publishing Company, Amsterdam, p 364

    Google Scholar 

  • David JM (1988) Handbook of applied advanced geostatistical ore reserve estimation. In: Developments in gee-mathematic, vol 6. Elsevier Scientific Publishing Company, New York, p 232

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  • Deutsch CV, Journel AG (1992) GSLIB: geostatistical software library and user’s guide. Oxford University Press, NY

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  • Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, pp 284–286

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  • http://petrowiki.org/GeostatisticaL_conditional_simulation

  • Isaak HE, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press Inc., p 559

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  • Koch GS, Link RF (1986) Statistical analysis of geological data, 2nd edn. Wiley, New York, p 375

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  • Sahu BK (2005) Statistical models in earth sciences. B, S. Publication Hyderabad, India, p 211

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  • Vann J, Guival GD (1998) Beyond ordinary Kriging: non linear geostatlstical methods in practice. In: Proceedings of symposium on Oct, 30, 1998; Beyond ordinary Kriging, An overview of non-linear estimation

    Google Scholar 

  • Wellmer FW (2012) Statistical evaluation in exploration for mineral deposits. Springer, Berlin, p 375

    Google Scholar 

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Author information

Authors and Affiliations

  1. Inter-University Accelerator Centre, New Delhi, India

    G. S. Roonwal

Authors
  1. G. S. Roonwal
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Correspondence to G. S. Roonwal .

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Roonwal, G.S. (2018). The Statistical Treatment of Exploration Data and Computer Application. In: Mineral Exploration: Practical Application. Springer Geology. Springer, Singapore. https://doi.org/10.1007/978-981-10-5604-8_6

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