Geostatistics Explained: An Introductory Guide for Earth Scientists

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A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material.

6 in stock

Publisher Cambridge
Language ENGLISH
Publish year 2010
Pages 412 pages
ISBN 9780521746564

Description

A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply.

Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation of analysis of variance (ANOVA) leads onto advanced ANOVA designs, correlation and regression, and non-parametric tests including chi-square. Finally, it introduces the essentials of multivariate techniques, multi-dimensional scaling and cluster analysis, analysis of sequences and concepts of spatial analysis. Illustrated with wide-ranging examples from topics across the Earth and environmental sciences, Geostatistics Explained can be used for undergraduate courses or for self-study and reference. Worked examples at the end of each chapter reinforce a clear understanding of the statistical tests and their applications.

Features

– End-of-chapter worked examples allow the reader to manipulate data and see how tests and formulas actually work
– Diagnostic tables for choosing the appropriate statistical test provide an excellent resource for the non-specialist
– Explanations encourage and give the reader the confidence to use statistical tests and interpret the results effectively even if they have an aversion to mathematics

Reviews

‘I can highly recommend this book based on my own experience with it, and can also imagine it being very useful for those teaching statistical methods to geoscientists.’ (Nina Kirchner, Stockholm University)

‘… provides a lifeline for students and researchers across the Earth and environmental sciences who until now have struggled with statistics … demystifies complex concepts and makes formulas and statistical tests easy to understand and apply.’ (The Eggs)

Table of Contents

Preface;

1. Introduction;
2. ‘Doing science’ – hypotheses, experiments and disproof;
3. Collecting and displaying data;
4. Introductory concepts of experimental design;
5. Doing science responsibly and ethically;
6. Probability helps you make a decision about your results;
7. Working from samples – data, populations and statistics;
8. Normal distributions – tests for comparing the means of one and two samples;
9. Type 1 and type 2 error, power and sample size;
10. Single factor analysis of variance;
11. Multiple comparisons after ANOVA;
12. Two-factor analysis of variance;
13. Important assumptions of analysis of variance: transformations and a test for equality of variances;
14. Two-factor analysis of variance without replication, and nested analysis of variance;
15. Relationships between variables: linear correlation and linear regression;
16. Linear regression;
17. Non-parametric statistics;
18. Non-parametric tests for nominal scale data;
19. Non-parametric tests for ratio, interval or ordinal scale data; 20. Introductory concepts of multivariate analysis;
21. Introductory concepts of sequence analysis;
22. Introductory concepts of spatial analysis;
23. Choosing a test;

Appendix A. Critical values of chi-square, Student’s t and F;
Appendix B. Answers to questions;
References;
Index.

Additional information

Weight1000 g
Co author

Publisher

Language

ENGLISH

Pages

412

Year of publication

2010

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