Statistical Inference for Everyone

Brian Blais · Web editionFree to read, no login

  1. 1 Introduction to Probability
  2. 2 Applications of Probability
  3. 3 Random Sequences and Visualization
  4. 4 Introduction to Model Comparison
  5. 5 Applications of Model Comparison
  6. 6 Introduction to Parameter Estimation
  7. 7 Priors, Likelihoods, and Posteriors
  8. 8 Common Statistical Significance Tests
  9. 9 Applications of Parameter Estimation and Inference
  10. 10 Multi-parameter Models
  11. 11 Introduction to MCMC
  12. 12 Concluding Thoughts
  13. 13 Appendix A: Computational Analysis
  14. 14 Appendix B: Notation and Standards
  15. 15 Appendix C: Common Distributions and Their Properties
  16. 16 Appendix D: Tables

Adapted from Statistical Inference for Everyone, by Brian Blais (Bryant University), licensed under CC BY-SA 4.0 (dual-licensed under the GNU FDL 1.2 or later; this adaptation uses the CC BY-SA grant). Changes were made; this adaptation is distributed under the same license.

License: CC-BY-SA-4.0. Licensed under a Creative Commons Attribution-ShareAlike 4.0 License; this adaptation is distributed under the same license.

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