Difference: Books20100611101929 (1 vs. 2)

Revision 22010-07-23 - TWikiAdminUser

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META TOPICPARENT name="GeostatisticsBooks"
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META TOPICPARENT name="AI_GEOSTATSBooks"
 Book Title: Basic linear geostatistics

ISBN: 3540618457

Book Author(s): M. Armstrong

Book Publisher: Springer Verlag

Date of Publication:

Cost: 53 US$

Pages: 155

Url: http://www.springer.com/

Description:

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Basic Linear Geostatistics covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an in-depth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications.
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Basic Linear AI_GEOSTATS covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an in-depth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications.
  It is assumed that readers, students and professionals alike, are familiar with basic probability and statistics, and matrix algebra needed for solving linear systems. Some reminders on these are given in an appendix at the end of the book. A set of execises is integrated into the text.

-- TWikiAdminUser - 2010-06-04

Deleted:
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Revision 12010-06-11 - TWikiAdminUser

 
META TOPICPARENT name="GeostatisticsBooks"
Book Title: Basic linear geostatistics

ISBN: 3540618457

Book Author(s): M. Armstrong

Book Publisher: Springer Verlag

Date of Publication:

Cost: 53 US$

Pages: 155

Url: http://www.springer.com/

Description:

Basic Linear Geostatistics covers basic geostatistics from the underlying statistical assumptions, the variogram calculation and modelling through to kriging. The underlying philosophy is to give the students an in-depth understanding of the relevant theory and how to put it into practice. This means going into the theory in more detail than most books do, and also linking it with applications.

It is assumed that readers, students and professionals alike, are familiar with basic probability and statistics, and matrix algebra needed for solving linear systems. Some reminders on these are given in an appendix at the end of the book. A set of execises is integrated into the text.

-- TWikiAdminUser - 2010-06-04

 
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