Statistical Inference For Everyone / Brian Blais.

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This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester of such a course. It is freely available under the Creative...

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Bibliographic Details
Uniform Title:Open Textbook Library.
Main Author: Blais, Brian (Author)
Corporate Author: Open Textbook Library (Distributor)
Language:English
Language and/or Writing System:
In English.
Published: Blais, Brian, [2017]
Series:Open Textbook Library.
Subjects:
Mathematics > Textbooks.
Applied mathematics > Textbooks.
Open educational resources.
Genre:
Textbooks.
Open educational resources.
Online Access:
Connect to online resource - MSU authorized users (Open Textbook Library @ University of Minnesota)
Physical Description:1 online resource.
Format: Electronic Website
Contents:
  • 1 Introduction to Probability
  • 2 Applications of Probability
  • 3 Random Sequences and Visualization
  • 4 Introduction to Model Comparison
  • 5 Applications of Model Comparison
  • 6 Introduction to Parameter Estimation
  • 7 Priors, Likelihoods, and Posteriors
  • 8 Common Statistical Significance Tests
  • 9 Applications of Parameter Estimation and Inference
  • 10 Multi-parameter Models
  • 11 Introduction to MCMC
  • 12 Concluding Thoughts
  • BibliographyAppendix A: Computational AnalysisAppendix B: Notation and StandardsAppendix C: Common Distributions and Their PropertiesAppendix D: Tables