stochastics

Outline

• Methods
  • ANOVA (balanced)
  • Random-effects ANOVA (nested)
  • t tests + confidence limits
  • MCMC simulation (Bayesian)
• Modeling
  • Categorical data modeling
  • Least squares (general linear models)
  • Design matrix construction
  • Generalized linear models
  • Bayesian GLMM
  • Bayesian discrete choice
  • Finite mixture models
  • Censored regression (Tobit)
  • Cox proportional hazards
• Designs
  • Lattice-design ANOVA / covariance
  • Experimental design + randomization plans
• Miscellany
  • Pedigree covariance / inbreeding coefficients

Each entry: a short description, then references.

Notes

A small, reference-oriented index of methods, model families, and experimental designs.