Paleontological Data Analysis
eBook - ePub

Paleontological Data Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Paleontological Data Analysis

About this book

PALEONTOLOGICAL DATA ANALYSIS

An up-to-date edition of the indispensable guide to analysing paleontological data

Paleontology has developed in recent decades into an increasingly data-driven discipline, which brings to bear a huge variety of statistical tools. Applying statistical methods to paleontological data requires a discipline-specific understanding of which methods and parameters are the most appropriate ones, and how to account for statistical bias inherent in the fossil record. By guiding the reader to these and other fundamental questions in the statistical analysis of fossilized specimens, Paleontological Data Analysis has become the standard text for anyone with an interest in quantitative analysis of the fossil record. Now fully updated to reflect the latest statistical methods and disciplinary advances, it is an essential tool for practitioners and students alike.

Readers of the second edition of Paleontological Data Analysis readers will also find:

  • New sections on machine learning, Bayesian inference, phylogenetic comparative methods, analysis of CT data, and much more
  • New use cases and examples using PAST, R, and Python software packages
  • Full color illustrations throughout

Paleontological Data Analysis is ideal for paleontologists, evolutionary biologists, taxonomists, and students in any of these fields.

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Yes, you can access Paleontological Data Analysis by Øyvind Hammer,David A. T. Harper in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2024
Print ISBN
9781119933939
eBook ISBN
9781119933953

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright Page
  5. Preface
  6. Acknowledgements
  7. 1 Introduction
  8. 2 Statistical concepts
  9. 3 Introduction to data visualization
  10. 4 Univariate and bivariate statistical methods
  11. 5 Introduction to multivariate data analysis
  12. 6 Morphometrics
  13. 7 Directional and spatial data analysis
  14. 8 Analysis of tomographic and 3D‐scan data
  15. 9 Estimating paleobiodiversity
  16. 10 Paleoecology and paleobiogeography
  17. 11 Calibration – estimating paleoenvironments
  18. 12 Time series analysis
  19. 13 Quantitative biostratigraphy
  20. 14 Phylogenetic analysis
  21. Index
  22. End User License Agreement