Statistics for Geoscientists
eBook - PDF

Statistics for Geoscientists

  1. 176 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistics for Geoscientists

About this book

Presents nearly all the important elementary and analytical methods of statistics, designed for the needs of the geoscientist and completely free from higher mathematics. Translated from the second German edition.

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Yes, you can access Statistics for Geoscientists by D. Marsal,D. F. Merriam in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Pergamon
Year
2014
Print ISBN
9780080262680
eBook ISBN
9781483296135
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Statistics for Geoscientists
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Foreword to the English Edition
  7. CHAPTER 1. Introduction, Scope and Purpose of Applied Statistics
  8. CHAPTER 2. Classification and Tabulation of Frequency Distributions
  9. CHAPTER 3. Distribution Curves, Cumulative Frequency Curves, Special Representations, and Logarithmic Class Intervals
  10. CHAPTER 4. Averaging
  11. CHAPTER 5. Variance, Standard Deviation, Skewness, and Kurtosis. Moments
  12. CHAPTER 6. The Characterization of Grain-size Distributions
  13. CHAPTER 7. Statistical Analysis of Inhomogeneity
  14. CHAPTER 8. Elementary Introduction to the Statistical Analysis of Stratified Rock Sequences and Time Series
  15. CHAPTER 9. Some Important Distribution Functions
  16. CHAPTER 10. Estimating Population Parameters, Confidence Limits. The Student-t Test
  17. CHAPTER 11. Significance Tests for Means, Variances, Frequency Distributions, and Sequential Arrangements
  18. CHAPTER 12. Ranking Methods
  19. CHAPTER 13. Correlation and Regression
  20. CHAPTER 14. Simplified Linear and Nonlinear Regression Analysis
  21. CHAPTER 15. An Introduction to Discriminant Analysis
  22. CHAPTER 16. Introduction to the Construction of Geological Maps by Trend Analysis of Exploration Data
  23. CHAPTER 17. The Representation of Distribution Curves by Cubic Splines
  24. CHAPTER 18. Sampling from Inhomogeneous Universes
  25. CHAPTER 19. Sampling Methods. Monte Carlo Sampling
  26. CHAPTER 20. Introduction to the Analysis of Variance (ANOVA)
  27. CHAPTER 21. Latin Squares
  28. CHAPTER 23. Performance of Statistical Investigations. The Most Important Flaws Encountered in Papers Using Statistical Methods
  29. Some Textbooks and Treatises
  30. References
  31. Tables
  32. The Mathematical Background of Chapter 14
  33. Remarks to Chapter 15 (Discriminant Analysis)
  34. Index