Geostatistics explained: an introductory guide for earth scientists/ Steve McKillup

By: McKillup, SteveMaterial type: TextTextPublication details: Cambridge: Cambridge University Press, 2010Description: xvi, 396 pISBN: 9780521746564Subject(s): Geology--Statistical methods -- Earth sciences--Statistical methodsDDC classification: 550.15195
Contents:
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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode Item holds
General Books Science Library General Books Science Library Central Library, Sikkim University
Science Library General Section
550.15195 MCK/G (Browse shelf(Opens below)) Available P27303
Total holds: 0

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

There are no comments on this title.

to post a comment.
SIKKIM UNIVERSITY
University Portal | Contact Librarian | Library Portal

Powered by Koha