Table of Contents
Topics #
- Mean, Median, Mode, Standard deviation, Variance, Standard error
- Bayesian statistics
- Causality
- Cluster analysis
- Correlation
- Data science, Data analysis, Data mining
- Interpretability
- Latent Dirichlet allocation
- Machine learning
- Multiple comparison
- Nonparametric statistics
- P-value
- Rating system
- Regression analysis
- Simpson's paradox
- Statistical hypothesis testing
Maxims #
Books #
- The elements of statistical learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- Probability and Statistics Cookbook by Matthias Vallentin
- STATISTICAL METHODS FOR RESEARCH WORKERS By Ronald A. Fisher (1925)
- Think Stats - Probability and Statistics for Programmers
- Statistics Done Wrong
- An introduction to statistics w Python
Softwares & programming languages #
- R
- Python with some packages (e.g. StatsModel)
Guides #
- Nature comms: Statistics for biologists
- Reference Collection to push back against “Common Statistical Myths"
Articles #
- http://golem.ph.utexas.edu/category/2010/09/fetishizing_pvalues.html
- Using python (and R) to calculate rank correlations
- What statistical analysis should I use?
- Jokes in statistics
Courses #
- Introduction to Statistical Computing by Cosma Shalizi
- Advanced Quantitative research methodology by Gary King
Talks #
References #
- Graphical Inference for Infovis by Hadley Wickham et al., connecting Information visualization with Statistics?
Incoming Links #
Related Articles (Article 0) #
- Bayesian statistics
- Information visualization
- Multicollinearity
- Multiple regression
- Science
- Variance inflation factor
Suggested Pages #
- 0.183 Regression analysis
- 0.112 Prior probability
- 0.111 Bayes' theorem
- 0.099 Heckman correction
- 0.086 Model selection
- 0.071 Interdisciplinary research
- 0.049 Geovisualization
- 0.049 Science policy
- 0.039 Logistic regression
- 0.031 Choropleth
- More suggestions...