179,00 €
198,89 €
-10% with code: EXTRA
Basic Linear Geostatistics
Basic Linear Geostatistics
179,00
198,89 €
  • We will send in 10–14 business days.
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 indepth 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 statis…
  • Publisher:
  • Year: 1998
  • Pages: 155
  • ISBN-10: 3540618457
  • ISBN-13: 9783540618454
  • Format: 15.6 x 23.5 x 1.1 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Basic Linear Geostatistics (e-book) (used book) | bookbook.eu

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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 indepth 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 exercises is integrated into the text.

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  • Author: Margaret Armstrong
  • Publisher:
  • Year: 1998
  • Pages: 155
  • ISBN-10: 3540618457
  • ISBN-13: 9783540618454
  • Format: 15.6 x 23.5 x 1.1 cm, softcover
  • Language: English English

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 indepth 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 exercises is integrated into the text.

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